Are you struggling to unlock your algebraic potential? Don’t worry, Marin Tutors is here to help! With our expert algebra tutoring services, you can master the art of algebra and excel in your academic journey. Whether you’re an elementary, middle school, or high school student, our dedicated tutors are ready to guide you through the intricacies of algebra, helping you build a strong foundation for future success.
Check It Out
At Marin Tutors, we understand that chemistry between tutor and student is crucial for effective learning. That’s why we offer both in-person and online tutoring options, allowing us to cater to your unique needs and preferences. Based in Mill Valley, California, we have been proudly serving the Marin county community for 24 years. Our experienced tutors are passionate about education and are committed to helping students reach their full potential.
We know that your child’s after-school schedule can be busy, which is why we provide flexible tutoring sessions that fit seamlessly into their routine. With Marin Tutors, there’s no need to worry about rushing to a tutoring center – our tutors come to you. Whether it’s in the comfort of your own home or through our user-friendly online platform, we ensure a convenient and personalized tutoring experience.
On our website, you’ll find a dedicated tutor page where you can learn more about our exceptional team of tutors. Additionally, we provide comprehensive information about our services, including the subjects we cover and the grade levels we cater to. Wondering why you should choose Marin Tutors? Look no further than our "About Us" page, where we highlight our years of experience, our commitment to excellence, and the positive impact we have made on countless students’ lives.
Don’t let algebra be a roadblock in your academic journey. Unlock your algebraic potential with Marin Tutors, the trusted name in tutoring. Contact us today to schedule your first session and embark on a path to success!
Benefits of Algebra Tutoring
Algebra tutoring can provide significant benefits for students in their academic journey. By seeking the guidance of expert tutors, students can unlock their algebraic potential and gain a deeper understanding of this fundamental branch of mathematics. With personalized instruction and a tailored approach, algebra tutoring offers several advantages that can greatly enhance a student’s learning experience.
First and foremost, one of the key benefits of algebra tutoring is individualized attention. Unlike traditional classroom settings, where teachers have to cater to the needs of an entire group, tutoring sessions allow for focused one-on-one instruction. This personalized approach enables tutors to identify and address the specific challenges and areas of improvement for each student. By adapting the teaching style and pace to suit the individual student’s learning needs, tutors can provide a supportive environment where students can grasp complex algebraic concepts more effectively.
Secondly, algebra tutoring offers the advantage of flexibility. Whether it’s in-person or online tutoring, students have the freedom to choose a mode of learning that best suits their preferences and schedule. For students engaged in other extracurricular activities, such as sports or music, scheduling conflicts can make it challenging to receive the necessary academic support. However, with algebra tutoring, students can conveniently arrange tutoring sessions around their busy after-school schedules, ensuring they receive the assistance they need without compromising their other commitments.
In addition to individualized attention and flexibility, algebra tutoring also promotes confidence and self-esteem. Many students find algebra to be particularly daunting, and struggling with it can lead to feelings of frustration and discouragement. However, through regular tutoring sessions, students gain a deeper understanding of algebraic concepts and develop problem-solving skills, which boosts their confidence in approaching algebraic equations and problems. As their skills improve, students become more motivated and develop a positive attitude towards algebra, which can have a ripple effect on their overall academic performance.
In conclusion, the benefits of algebra tutoring are numerous, ranging from individualized attention and flexibility to increased confidence and improved problem-solving skills. By seeking the assistance of expert tutors, students can overcome challenges, unlock their algebraic potential, and master the art of algebra, setting a solid foundation for their future academic pursuits.
Success Stories from Marin Tutors
Boosting Grades and Confidence
At Marin Tutors, we are proud to share the success stories of many students who have benefited from our algebra tutoring services. One remarkable success story involves a middle school student named Emily. When Emily first came to us, she was struggling to understand algebraic concepts and her grades were suffering as a result. However, through our personalized one-on-one tutoring sessions, Emily’s understanding of algebra improved significantly. Not only did her grades begin to soar, but her confidence in tackling challenging math problems also grew. Today, Emily is excelling in her algebra class and has developed a newfound love for the subject.
Overcoming Math Anxiety
Another inspiring success story is that of James, a high school student who had always grappled with math anxiety. James believed he simply wasn’t good at algebra and would never be able to understand it. However, with the help of our experienced algebra tutors, James was able to overcome his fears and unlock his true potential. Through patient guidance and tailored lesson plans, James gradually gained a deeper understanding of algebraic concepts. As a result, his math anxiety lessened, and he started performing exceptionally well in algebra. James’s success story serves as a testament to the transformative power of personalized tutoring and the importance of building confidence in students.
Excelling in Advanced Algebra
Our final success story comes from Anna, a high school student who was taking advanced algebra courses. Anna had aspirations of pursuing a science degree in college but struggled with the complex algebraic principles required for her chosen field of study. Seeking extra assistance, Anna enrolled in our expert algebra tutoring program. Our tutors worked closely with Anna to strengthen her foundation in algebra and help her grasp advanced concepts. As a result of her dedication and our tutors’ guidance, Anna not only excelled in her advanced algebra courses but also gained the confidence to pursue her dream of studying chemistry. Anna’s story showcases the effectiveness of our tutoring methods in enabling students to excel in challenging academic disciplines.
These success stories are just a glimpse of the countless students who have benefitted from the expertise of Marin Tutors. With our personalized approach, experienced tutors, and commitment to student success, we strive to unlock the algebraic potential of every student we work with.
Choosing the Right Tutoring Service
When it comes to finding the perfect algebra tutoring service for your child, there are a few key factors to consider. The right tutoring service can make all the difference in helping your child unlock their algebraic potential and gain confidence in their abilities. Here are some important points to keep in mind when making your decision.
First and foremost, you’ll want to consider the expertise and qualifications of the tutors. Look for tutoring services like "Marin Tutors" that have experienced tutors who specialize in algebra tutoring. Ideally, the tutors should have a strong background in mathematics and a deep understanding of algebra concepts. This way, you can be sure that your child is receiving instruction from someone who truly knows the subject matter.
Secondly, flexibility is an important aspect to consider. Look for a tutoring service that offers both in-person and online tutoring options. This way, you can choose the method that works best for your child’s learning style and schedule. For busy students with extracurricular activities, having the option of online tutoring can be a game-changer. "Marin Tutors" understands this and provides convenient in-person tutoring for those who prefer face-to-face interaction, as well as online tutoring for flexibility and convenience.
Lastly, take the time to explore the tutoring service’s approach and methodology. Every student is unique, so it’s important to find a tutoring service that can tailor their instruction to meet your child’s specific needs. Look for a service that offers personalized lesson plans and individualized attention. "Marin Tutors" takes pride in their ability to create customized programs that cater to each student’s strengths and areas of improvement, ensuring effective and impactful tutoring sessions.
By considering these factors – expertise, flexibility, and personalized approach – you can choose the right algebra tutoring service that will provide the support and guidance your child needs to master the art of algebra. With "Marin Tutors" by your side, you can unlock your child’s algebraic potential and set them up for success in their academic journey.


Bnaya , like many teens, enjoys playing basketball. What sets him apart is his professional-level basketball skills: Bnaya plays for the Maccabi sports league and is headed towards a career as a professional basketball player.
Yaara Feldman, a student at Ulpanat Tzfira, won first place at the 2019 international Math Olympiad!
The Math Olympiad attracts 8,000 participants and tests mathematical knowledge and reasoning skills. This competition is geared towards religious, female high school students, a population that is usually underrepresented in the field of math.


Math Power Hour
Free math tutoring sessions for patrons of any age group that need tutoring with math classes or homework! Our BiblioTech tutors will monitor patrons while they work and study math materials and answer any questions that arise.
Please note: This is not intended to be a “math class,” only a tutoring session similar to a tutoring lab at a school. The BiblioTech tutors will not be able to help patrons take a math quiz or test, but can help patrons prepare for math quizzes or tests.
Questions? Please call 210-631-0180.


As educators, we constantly hear about differentiation. Delivering lessons that can reach and challenge all students can be difficult, time-consuming, and vital. We've seen learning gaps grow as a result of the pandemic, making differentiation more crucial. Throughout this post I will be introducing a strategy that has helped save time with math lessons and has allowed me to be able to target all learners in small group instruction.
If you have seen any of my posts on social media, you will know that my students are huge fans of Boddle Learning. The free digital platform allows students to combine rigorous math questions targeted to the standards with gamification. In addition to engaging students in higher order thinking, the data and reports can be easily interpreted.
Analyzing the Data
As an interventionist, analyzing data is my driving force. The results of the assignment can be seen simultaneously as students work on the questions within the platform. The image below is an example of how a progress report looks. When I view the data, I can see that students 3 and 5 performed the lowest, and students 1, 4, and 9 performed the highest. It also appears that skills 3.3C and 3.3A will need to be retaught.
After analyzing the data, my first small group would be students 3 and 5. I can do this by providing a few scaffolding questions below grade level then incorporating on grade level questions. My next small group would be students 1, 4, and 9. I would provide enrichment by adding a few above grade level questions on the similar skill while also giving on grade level questions. For the remaining students, I would continue this pattern and provide support based on the number of questions missed and by skill.
The next image is an example of what the assignment creator looks like. If I am teaching a skill that requires more memorization, like math facts, I can adjust the number of questions to focus more on math fluency. In the case of a more rigorous skill, such as multi-step problems, I would provide fewer questions to reinforce effort.
While the needs of students vary, the need for differentiation in lessons is non-negotiable. Having the ability to differentiate instruction and provide engaging acceleration opportunities can be challenging when your teacher to-do list is constantly growing. It is a pleasure to use a program that is reliable, intuitive, and can easily be adapted to different classrooms.


Ensure the Online Lottery Subscription to Increase Winning
At the point when seasons of downturn hit, the franticness for a money bonus increments and questions, for example, does a lottery membership increment your shot at winning show up? Both the long and short answer is no. A lottery membership administration is advantageous to the extent that you will play each and every draw. There are various online organizations that permit you to fill in a structure and pay with your charge card. The numbers you pick will be gone into the draw every week and are checked for you. On the off chance that you win, you will be told by email, phone, post or whatever contact data you gave them.
This all sounds incredible yet the proviso is: the numbers you pick are the ones you should stay by every single week. This implies you are successfully giving yourself precisely the same minuscule rate shot at winning every week. Any individual who has at any point read the lottery for any level of time realizes that remaining by similar numbers every week does not work on your odds of winning. Truth be told, contingent upon your decisions, you might even be protracting the generally huge chances. Consider the possibility that you picked an arrangement like 3, 4, and 5,6,7,8. Did you realize that 6 continuous numbers have never been attracted lottery history?
Checking the Lottery Odds
It is undeniably true that the lottery numbers are attracted a pseudo arbitrary way instead of all out haphazardness. This implies that the numbers have something of an example though a difficult to decide one. It is additionally a measurable togel sgp reality that the lottery numbers attracted cling to the laws of likelihood in light of the fact that odd and even numbers are drawn as one would anticipate that they should. That is, there are not many draws where there are multiple odd or even numbers.
Around 75% of lottery draws produce numbers that have an aggregate of somewhere in the range of 115 and 185 when the worth of the six balls are joined. This implies that picking such a large number of high or low numbers lessens your odds of coming out on top. In this manner, in response to the inquiry does a lottery membership increment your shot at winning the lottery, the appropriate response is a reverberating no. Tickets that have an excessive number of odd, even, high or low numbers have around 33% the shot at winning a big stake as tickets with an even spread of numbers.


What is geometry?
Geometry is basically the study of shapes and properties of the shapes. According to me if you enjoy drawing or playing with objects then geometry is just perfect for you.
Geometry is divided into;
Plane geometry – It deals with flat shapes like circles, triangles and lines which can be drawn on flat surfaces.
Solid geometry – This deals with 3D objects like spheres, cubes, cylinders and prisms.
The different topics associated with geometry are angles, areas of basic shapes, geometric proofs, polygons, parallelograms etc.
Advantages of taking geometry help online
Trust me if you are in search of online geometry tutorial then there are many such sites which will easily guide you in this aspect. There are several benefits of taking online geometry help few of which are;
You can connect with the tutor of your choice any time in 24 hours from the comfort of your home.
You will get access to the best audio and video tools to solve any problems regarding geometry.
You can use it free of cost for initial few hours and then avail the membership at a very reasonable cost.
According to me these online geometry help tutorials are excellent and you can count on them whenever required.
As a teacher, I know the importance of geometry in a person’s life. It helps someone to think out of the box, assists in special reasoning and strengthens problem-solving skills. But, I found out that one of my students lagged behind everyone else in the class in the subject. For me, someone who loves geometry, this appeared to be a bit disappointing, a question on my performance. I decided to take up the issue with her parents and do a thorough research on the topic. Given below are the insights I gained when surfing the Internet for information on the topic.
Why Geometry is tough for some?
Studies show that all are not mathematics learners. Among them, a majority faces a tough time handling geometry. This happens because geometry is quite different from algebra. In geometry, a student is required to visualize objects which are abstract. For this reason, those who are not visual learners may find it hard to digest. Lack of focus on proofs in algebraic courses too can be attributed to this difficulty.
This does not mean that there is no solution for the trouble. Discuss the situation with your child’s math instructor and try the following.
• Combine algebraic and geometry courses: Research shows that combining algebra and geometry would be of great help to those students struggling in the subject. Do a research on the Internet and explore geometry help websites to get more insights in the matter.
• Hire a tutor: This may be the easiest option available rather than modifying the curriculum for a single student. A tutor would be able to understand a student’s weaknesses and adopt a strategy in accordance with that.
I recommended a tutor for my student. And, her performance has improved a lot!
If things are done in the right matter, your child may even be interested in going for principles of accounts tuition from a renowned institution.
Geometry, the first subject
I am well aware of the importance of geometry in one’s life because I am a geometry teacher. But not just as a teacher but also as a parent I would suggest that it is a very important subject. In fact you will be amazed to know that geometry is one of the first subjects that your child learns when he begins his formal education. It is the basic of cognitive learning and understanding, the shapes. As your little one goes to a play school or kindergarten he or she learns to identify the various shapes like circle, square, cone, triangle, cylinder etc. That’s the first geometry help that he gets. With this you can understand that geometry is a subject that is extremely crucial in developing the concept of our surrounding.
Important to a child
There is a reason why geometry is among the first subjects that a child learns. It helps in developing the basic concept of shape, size, position and distance. The word geometry could simply be described as the measurement of earth. With this the child gradually develops the concept of the space where he lives. As a teacher of geometry I could say that it is also one of the most interesting subjects, but that could come across as a biased opinion.
However, as someone who knows the importance of geometry I could tell you that it is so important for a child because it helps him in developing general motor skills. Geometry help a child in developing spatial thinking. The space where he lives, how to move about it, what is the right speed of walking and even how to take his breathes are influenced by this subject. Therefore it is introduced so early in formal education. Without the basic concept of geometry a child cannot develop proper living and learning skills.
Important to student
Ever since I was a student and even now I feel amazed at how essential a subject geometry is. When I was in school I used to identify the importance and presence of geometry in all the other subjects. Be it geography, physics or math a basic knowledge of geometry is essential. Since I have picked a career with this subject you can understand that I completely love it.
As a kid taking private tuitions in geometry from tuition agency singapore increased my knowledge and understanding of the subject. If you feel that your child has a knack for geometry or he is weak in the subject then you must get him additional help. Here are a few ways in which the private tuitions helped me.
Improved geometry grade – surely taking private lessons in geometry improved my grade in the subject
Improved total math grades – since geometry is a part of arithmetic in school it added to the overall score
Improved grades of other subjects – I was amazed to find out how geometry helped me in securing better grades in other subjects like geography and physics. Until then I had no idea that it is related to these subjects as well
Improved concentration – taking geometry lessons improved my overall concentration.
Improved my handwriting – you will be astonished to know that these lessons helped in improving my handwriting! Using the geometry tools gave me a steadier hand grip that improved my writing.
Important in career
Geometry is a very crucial subject which plays a vital role in many career choices. Some people feel that it is a subject that you pursue only to become a geometry help. But that is a wrong concept because these are some of the professions which will require a sound knowledge of geometry.
And of course, a Geometry Teacher
There are only two people in this world who knows me better than I know myself. That’s my parents. When I was about to begin college and choose a career that I wanted to build for myself the first people I consulted were them. Ever since I was a child I was keen in math, especially geometry. That’s why I aspired to be a geometry help and teach it in one of the best private school in singapore. When I discussed my plan with my parents they completely supported me. They thought teaching was a noble profession and agreed that my skills were high in geometry. Getting their approval was the first support that I got from them. After that my parents did everything in their capacity and beyond to help me achieve my dream.
Finding the best college
Once it was finalized that I will pursue geometry help started to come from all directions. We are a huge family spread all over the country. Therefore all our extended family and relatives helped me in finding the best college. Of course it was my parents who had asked all of them to help me find a college.
At home dad and I would spend hours researching on the laptop after he came back from work. We looked up all the options of getting admitted to the best college and university, expenses and career prospects.
Discussing the money
I have always believed in discussing the matters of money clearly. It helps me to weigh my options and then plan accordingly. I am glad that my parents discussed the financial situation with me and told me how much they could support me with, which was by the way a lot. I appreciate that my dad was thinking ahead and planned his finances so well.
In spite of the help that I got from my parents I chose to take a loan and pay it back after I got a job. At first my parents opposed but later they agreed to my choice.
Help in getting educational loan
My dad helped me to get the educational loan as well. In fact he was the guarantor because of which I got the loan quickly.
Today when I am a qualified geometry help and respected high school teacher I have two people to thank the most, my parents. They have been a constant support who helped me choose the right career and gave all the avenues to reach there.


Phone #864-582-4347 ext. 2206Email: NeelyPK@spart6.orgClass Schedule:
1st block: Math for Financial Success3rd block: Math for Financial Success4th block: Geometry Advanced
1st block: Geometry Advanced2nd block: Math for Financial Success3rd block: Math for Financial Success
Geometry Advanced Syllabus: GeomAdvSyllabus.pdfGeometry Advanced Expectations: GeomAdvExpect.pdf
Math for Financial Success Syllabus: FinSuccSyllabus.pdfMath for Financial Success Expectations: FinSuccExpect.pdf
*Please note: Instructions to help you sign up for "Remind" (referred to on the syllabus) are sent home the first day and are attached to the syllabus. If you need another copy, please feel free to contact me at the above email address.
I am available after school from 3:30-4:00 for extra help and make-up tests.


Players’ conditional response during competition, for example, distance covered at a run, has traditionally been described using the average value covered (in metres per minute) during a half or full game. Later on, shorter game periods were studied (e.g. 15 minutes in Robinson, O’Donoghue, Wooster, 2011; or five minutes in Bradley & Noakes, 2013), which showed more intense periods. However, it has recently been proven (Gabbet et al., 2016) that these values taken from static periods may not represent maximum demand scenarios or MDS. Recently, the application of the rolling technique (Varley et al., 2012) has allowed researchers to confirm the existence of more demanding conditional scenarios than the average values used up to now (Are small-sided games the solution to all our problems?).
This technique examines second by second (or frame by frame, depending on the sampling unit) the chosen period or interval (e.g. 1, 3, 5 or 10 minutes) which is used to determine the highest values of physical variables used as a reference (e.g. distance covered at a speed greater than 14 Km·h-1). Both quantities – the period or established timeframe and the chosen physical performance variable – follow the mathematical relationship indicated in the power law (Katz and Katz, 1999). Thus, when the timeframe is larger, the relative value of the conditional variable decreases. In football, for example, when the timeframe is close to 15 minutes, the conditional variable values are very similar to the average values for a partial or complete game (Lacome et al., 2018).
As well as refining the description of MDS (Martín-García et al., 2018), sports scientists are also beginning to take an interest in understanding whether these scenarios can be replicated in the training process. Specifically, they are asking whether there are play-related tasks that allow them to be replicated (Lacome et al., 2018). This paper explores this idea by applying two original concepts: first, it connects the MDS from multiple variables simultaneously; and second, it compares the MDS from positional play in relative terms to the MDS recorded by each player in competition (e.g. distance covered in % with respect to MDS in competition for the same variable).
The participants were 21 players from FC Barcelona’s reserve team during the 2015-2016 season, and they were grouped by standard positions: centre backs (CD, n=4), full backs (FB, n=6), midfielders (MF, n=3), attacking midfielders (AMF, n=3), and forwards (FW, n=5). The time windows and positional play studied were: 1) 5-minute windows for small-sided games (SSG) [SSG5, players per team = 5, goalkeepers = 2, dimensions= 33*40m, and duration = 6 ±1 min; SSG6, players per team = 6, goalkeepers = 2, wild cards = 1, dimensions= 33*40m, and duration = 6 ±1 min] and 10 minutes for long-sided games (LSG) [SSG9, players per team = 9, goalkeepers = 2, dimensions = 72*65 m, and duration = 12 ±3 min; SSG10, players per team = 10, goalkeepers = 2, dimensions = 105*65 m, and duration = 11 ±3 min] and in competitive matches, which had a timeframe of 45 minutes. The variables analysed represented the different movement systems (locomotor, mechanical, and energetic), such as total distance covered or distance covered at high speed, accelerations/decelerations, or variables related to metabolic power, respectively. The main results are shown in the following figures (1, 2 and 3). The charts give a percentage with respect to periods of maximum demand in the game compared to distance in metres per minute (Figure 1), distance at more than 25 km·h-1 (Figure 2) and number of accelerations, or ACC (Figure 3). The red dashes represent 100% and indicates the limit up to which MDS would be replicated in competition.


Make teaching counting skills fun with this engaging, hands-on counting centre! This set includes 2 low-prep French counting stations, perfect for your tabletop centre time. This clear, straightforward activity is perfect for your French kindergarten students who are learning how to count en français.
Let your students learn comment compter en français using these French kindergarten centres. Your students will love learning to count through play-based learning. They won’t even realize how much they’re learning!
Here’s what you’ll get:
- 10 marker cases with a number written on them (students add the markers)
- 10 marker cases with markers already on them (students add count the markers and add the number)
- 11 markers
- Numbers 0-10, written numerically and in words
These counting centres in French use printable manipulatives provided in the resource, so you won’t have to search your school for some!
Copyright © La Classe de Mme Caroline.
Permission to copy for single classroom use only.
Please purchase additional licenses if you intend to share this product.


Instantaneous rate of change is like the speed your are driving your car at particular instant or any change occur at a particular instant or in a very very short interval of time as in case of speed that short interval is the amount of time you took to observe the speed in speedometer. The instantaneous rate of change measures the rate of change, or slope, of a curve at a certain instant thus, the instantaneous rate of change is given by the derivative in this case, the instantaneous rate is s' (2). Instantaneous rate of change calculator enter the function: at = find instantaneous rate of change.
Instantaneous and compounded annual rates for interest in finance there are two ways to express rates such as interest rates the most common way is as the effective annual rates so that if the interest rate is r then $1 deposited at the beginning of a year will grow to be (1+r) by the end of the year. The instantaneous rate of change, we want the change h to be as small as possible although we cannot let this change be zero, we can do the next best thing using a limit the instantaneous rate of change of f () x with respect to x. The instantaneous rate of change is the rate of change of a function at a certain time if given the function values before, during, and after the required time, the instantaneous rate of change can be estimated.
Synonyms for instantaneous rate of change in free thesaurus antonyms for instantaneous rate of change 28 synonyms for derivative: by-product, spin-off, offshoot. When average and instantaneous rates of change are the same is there ever a situation in which an average rate of change would be the same as an instantaneous rate of change yes. The instantaneous rate of change of y = f(x) with respect to x at a is this quantity is also known as the derivative of f at a , written f ' ( a ) the derivative f ' ( a )is the slope of f at the single point x = a.
Definition of instantaneous rate of change in the financial dictionary - by free online english dictionary and encyclopedia what is instantaneous rate of change meaning of instantaneous rate of change as a finance term. The instantaneous rate of change for something is the rate of change at a particular instant in time the average rate of change of something is the rate averaged out over a given time interval. The main problem with the instantaneous rate of change is that it refers to only one moment in time, which means that this change in y values happens when the change in x values is only an instant or technically 0.
Instantaneous rate of change is defined as the rate of change of a particular point of time for a function, the change in the function f(x) with respect to x value is known as rate of change. Free practice questions for ap calculus bc - instantaneous rate of change, average rate of change, and linear approximation includes full solutions and score r. Instantaneous rate of change of f(x) at x = a is defined to be the limit of average rates of change on a sequence of shorter and shorter inter- vals centred at x = a.
The rate of change at a particular moment same as the value of the derivative at a particular point for a function , the instantaneous rate of change at a point is the same as the slope of the tangent line. Sal finds the average rate of change of a curve over several intervals, and uses one of them to approximate the slope of a line tangent to the curve. In this video i go over how you can approximate the instantaneous rate of change of a function this is also the same as approximating the slope of a tangent.
93 average and instantaneous rates of change: the derivative 611 another common rate of change is velocity for instance, if we travel 200 miles in our car. This is the slope of the tangent line to the curve, or the instantaneous rate of change you can also use the second formula roughly speaking, the instantaneous velocity measures how fast the object is travelling at a particular instant. 06) approximating instantaneous rate of change, part ii 07) approximating instantaneous rate of change, part iii 08) introduction to slope of curve/tangent line.


Why Stem Matters
Science, technology, engineering and math skills allow us to solve problems in the real world. With STEM skills, we can build things stronger, faster and better. We can find answers to some of the world's most challenging questions. Those skills translate to real-world jobs, too. Want to know more?
How We Can Help
As professionals with careers in enginering, technology and education, we know the benefits of STEM education. With our classes, summer programs and clubs, we are constantly exploring new ways to enrich young minds and get students excited about science, technology, engineering and math. Want to know more about how we can help?


Many applications these days want us to know how close we are to things:
- What are the three closest coffee shops to my current location?
- Which is the nearest airport to the office?
- What are the two closest subway stops to the restaurant?
and countless more examples.
Another way of asking these questions is to say “who are my nearest neighbors to me?” This maps to a classic algorithmic problem: efficiently finding the K-nearest neighbors (or K-NN), where K is a constant. For example, the first question would be a 3-NN problem as we are trying to find the 3 closest coffee shops.
(If you are interested in learning more about K-NN problems in general, I highly recommend looking at how you can solve this using n-dimensional Voronoi diagrams, a wonderful data structure developed in the field of computational geometry.)
How can we use PostgreSQL to help us quickly find our closest neighbors? Let’s explore.


PivotTables do not allow median function. We will create a helper column and use an array function to calculate the median in a PivotTable. Also shown are average, median, averageif, if statement with the median function.
The median function finds the middle number in a range. If you have an odd number of numbers (3, 7, 15 numbers) it will find the middle number. If you have an even number of numbers, (2, 14, 28) if will find the two middle numbers and average them.
Functions used in the video above
- Average – Returns the average (arithmetic mean) of the arguments. For example, if the range A1:A20 contains numbers, the formula =AVERAGE(A1:A20) returns the average of those numbers.
- Median – Returns the statistical median (the middle value) of a list of supplied numbers.
- Array Function
- AverageIf – returns the average (arithmetic mean) of all numbers in a range of cells, based on a given criteria. The AVERAGEIF function is a built-in function in Excel that is categorized as a Statistical Function.
There is no medianif function so we nested the median function with an if statement and made it an array function.
Upcoming Excel Events with Chris Menard in Atlanta
- Administrative Professional Day Conference on April 20, 2018
- Georgia Society of CPAs conference in August 2018 – Cobb Galleria


Happi Baby Count n Learn Lion
This soft corduroy lion helps toddlers learn numbers with 3 modes of play. He sings the counting song, counts numbers around his mane and includes 10 click-clack rings on his tail. Comes with 3 AAA batteries and it measures 10".
- Helps toddlers learn their numbers
- Sings and counts to 10
- 10 click-clack rings to count along
- Part of the Happi collection designed by Dena for Gund
- Age range 6 months to 2 years


Ryan Landvoy, Ph.D.
Dr. Ryan Landvoy is a senior evaluator specializing in evaluation design, data management, technology and programming. He has broad experience in instructional technology, curriculum design and development, technology-based assessment, research design and statistical analysis.
Dr. Landvoy offers unique strengths for educational grant programs. He has over 16 years’ experience in secondary and post-secondary education in public and private institutions and has served as a university professor and department chair, and education, mathematics and computer science researcher. Dr. Landvoy has also worked in collaboration with scientists at the Pacific Northwest National Laboratory providing support for applied mathematics and cyber-security groups.
In 1990, Dr. Landvoy received a Bachelor of Arts in Mathematics from the University of New Hampshire and a Master of Science in Mathematics from the University of Idaho in 1992. In 1996, he earned a Ph.D. in Mathematics at Saint Louis University. He also received a Master of Science in Information Technology from Capella University in 2008.


|Golden Toy Robot|
Golden Toy Robot is a decoration object that can be found through Treasure Hunting. It is found in the Safes that can be dug up. The Golden Toy Robot is the rare variant of the regular Toy Robot and is much rarer. When looting a Safe, there's a 2.3% chance of it being any robot in the first place. After becoming a robot, the game decides whether it be a regular Toy Robot (94.8%) or a Golden Toy Robot (5.2%).
Following paragraph describes the calculation of the chance of getting a Golden Toy Robot. To get the Golden Toy Robot, the player must first find a Safe. Every treasure that is dug up has a 20% chance of being a Safe. This translates to 1/5. Getting a robot in the first place is 2.3%, which is roughly 1/50, and it being golden is another 5.2%, which is roughly 1/20. Getting this specific combination of rolls is therefore a 1/5000 or 0.02%, making the Golden Toy Robot the rarest item in the game. Note that this equation is rolled for all items within the container, meaning that if there are five items in the Safe, the player rolls for the 1/1000 chance five times. This means that on average, when looting a Safe, the player has roughly 0.5% chance of getting a single Golden Toy Robot.
- Used to decorate the raft.
|Update 12||Golden Toy Robot added to the game.|


Statistics vs Machine Learning
In a Data Science process, after Data Scientist question the data and extract many useful information, it's time to get into the modeling process.
The modeling process is formally divided into two categories, statistical modeling and machine learning. Statistical modeling requires data scientist to have a deep understanding of the model. Specifically, what kind of features that will be played as the important predictors and what is the reason behind it. Statistical modeling is about the quality of the features.
While machine learning requires data scientist to brute force all the features that may increase the accuracy. Machine learning doesn't need data scientist to understand why the features are important. As long as the model accuracy is great at predicting unseen data, then the machine learning is a success. Machine learning is about the quantity of the features. As long as these features increase accuracy and generalize well, hundreds or thousand of features still makes sense
Using a Titanic case as an example, understanding about what kind of passengers survive the accident is a statistical modeling. Looking at age, gender, first class cabin, socio-economic status. Looking how each of the feature relates to the survivability of passengers and what is the standard error rate. Machine Learning uses all those features as long as it increases the accuracy. Even passengers height is taken into account if it meant to increase the accuracy.
In general, statistical modeling requires us to understand various predictors and how it contribute to the outcome, while at the same time measuring confounding variables that contribute to the noise of the model. We use various statistical inference to determine which of the features are really important.
Linear Regression usually comes at the top when talking about the outcome being numerical variable. The predictors can be numerical or categorical. We test model from various combination of predictors and degree of polynomial. These predictors are chosen from our previous EDA as an interesting feature that relates to the outcome.
To test this model, we use number of evaluation methods . First, we use effect size test. Is it true that one model is statistically significant over the other? We can do hypothesis testing on this to test its significance. Second, It's also important to think which of the features weight more than the other. Finally, a model that is parsimonious should be prioritized. That is a statistically significance model over the other that has the simplest and fewest features.
When talking about statistical modeling earlier, we talk about what features that associate with numerical outcome. That's why Linear Regression is often used for statistical modeling. If on the other hand, the classification is what the model want, it's often good to use classification algorithms in the form of machine learning.
Machine learning uses as many features as it wants as long as it's: 1) Make a great accuracy, and 2) generalize well for unseen data. The machine learning is follow these steps; Learn at training data, test and tune parameters using test data with evaluation metrics. The evaluation metrics can be different regarding if you have skew or equal proportion of target outcome.
For a digital advertising company, they have two options to consider and have some trade-off. Do you want to maximize click, or maximize budget? If you want as much click as possible, you can predict all people to click. And you're right, every people that potentially click will click the ads. But at the same time, you spent enormous budget because you recommend ads to all people. This is called precision, or false positive rate.
On the other hand, you may want to minimize budget as you can, and you only want to recommend ads if the people definitely clicks. You don't want people that you're not convinced they will click. Congratulations, you minimized the budget, but you have a very small number of click. In the extreme condition, you don't want to recommend at all, so you definitely have reduced the budget to nothing. This called recall, or sensitivity.
Machine learning is about how you tune the parameters to match the best algorithm possible. If you still can't perform well, you can choose another algorithm and tune it to its best. Don't forget to track the parameters and algorithm as you want it to save the best model. If all the optimizations still don't give a great score, then you may want to consider to get another data.
Machine Learning vs Traditional Statistics¶
There is a still ongoing debate between machine learning and statistical modeling. But both still follow the statistical approach when making an independent observation. When you have a log data, it's better to make each observation represent one user so the data is independent based on the user.
You avoid the outlier in the data using a normal distribution and try to use log/sqrt/ or other mathematical formula to turn each of the feature to normal distribution. This is also similar to both approaches.
In term of generalizability, statistics saw it as how the model generalize the population of interest. Machine learning, on the other hand, sees generalizability as how the model performs against unseen future data, by splitting training, validation, and test set. This is somewhat similar principals.
In term of feature engineering, both rely on data analysis to create features. In term of features selection, while statistics use some p-value or r-squared to select significant features, machine learning uses select top K/percentile based on the prediction of accuracy.
Now statistician may stop further as each of the features already known the significance. Machine learning further tries test each algorithm in classification or regression and hypertune parameters, evaluated by pre-defined evaluation metrics.
Case Study: Netflix Price¶
Back to Netflix example. The winner uses machine learning and has a great prediction accuracy. Machine Learning did a great job because complex model outperforms parsimonious model. But it turns out Netflix didn't use it because it's too complex, the computation itself is not feasible with Netflix technology. In this case, a parsimonious model is better against the complex model.
It's important to know your question. This can end up to a different modeling and lead to a different conclusion . Back to the digital advertising example, Statistical modeling will ask, "What contributes people to click?", Machine Learning will ask "Can we maximize the CTR?". Statistical modeling will answer which features that significance, and detect other confounding variables that contribute to click. While machine learning will get all features, regardless its significance or confounding variables, as long as it maximizes CTR.


I am a professor at the Salzburg University of Applied Sciences, where I am teaching and researching in the mechatronics and robotics group at the department for information technology and systems management.
I am a computer scientist and mathematician. My academic background is primarily in algorithms, especially in geometry and topology, with links to machine learning and industrial application. My industrial background is in the machine and factory automation industry.
My contact details are:
|Fachhochschule Salzburg (ITS)
Urstein Süd 1
|A3D92FF7 785D43C8 F2C19BA2 CDD89BE5 0973919E
|+43 50 2211-1324
In 2019 I joined the Salzburg University of Applied Sciences to become a professor in the mechatronics and robotics group where I work in the field of industrial informatics.
In 2015–2019 I worked at 中国iphone怎么上ins, where I built up a team of R&D engineers with a focus on algorithms and mathematics. I was responsible for the PLC software operating the next-generation transport system ACOPOStrak, for which I initially developed the concepts and architectures, mathematical models and core algorithms.
Besides my industry job I kept teaching at the University of Salzburg and the Salzburg University of Applied Sciences.
I was a Postdoc researcher at the 在中国怎么上snapchat (Institute of Science and Technology Austria) in the group of Herbert Edelsbrunner in the years 2013–2015 and worked in computational topology.
I had a Senior Scientist position at the Department of Mathematics (2012) at the University of Salzburg and I was a Postdoc at Martin Held’s Computational Geometry and Applications Lab (2011–2012) at the Department of Computer Sciences at the University of Salzburg.
I finished my Doctoral studies in 2011 at the Department of Computer Sciences at the University of Salzburg. Furthermore, I received a Master degree in Mathematics, a Master degree (Dipl.-Ing.) in Computer Science, a Bachelor degree in Mathematics and a Bachelor degree in Computer Science in the years 2009, 2008, 2007 and 2006.
What I cannot create, I do not understand.
– Richard Feynman
Science is what we understand well enough to explain to a computer.
Art is everything else we do.
– Donald Knuth
A picture may be worth a thousand words, a formula is worth a thousand pictures.
– Edgar Dijkstra


Math homework doesn’t have to be a worksheet!
Thanks to my colleague, Jessica Marchant, who introduced me to her version of math homework this year, my students and parents have come to enjoy math homework in a new, engaging, and non-family-time-intrusive way. It’s based on the AVMR Math training our elementary teachers received. The training gave me a better understanding of how children learn math, the types of activities that can be used to progress students’ math skills, and assessments that pinpoint math constructs.
In a nutshell, students work at their instructional level on simple game-based math activities. Each day, students take home their math recording sheet. It contains the written directions for activity options, as well as spots for parents to record math work completed and comments. Version 1 was used the month of October and November. I revamped it for December to include math apps and sites that compliment the math activities.
I spent a couple of weeks introducing each of the activities to students prior to sending this sheet home. In addition, my students helped me create videos for each activity. Click the top left-hand corner to gain access to all math videos!


Use the Descriptive Statistics procedure to calculate the variances of the two samples. (These last steps simply transform the score into a range that is more intuitive. The spreadsheet displays "yes" for any z-score that exceeds the maximum allowable z-score in cell K2, currently set at 1. ' The z-score for the number you entered in the 'X' box will be displayed in the empty cell you selected in. Put those numbers to work. docx 3 If you are using either of our programs (the FAS Facial Photographic Analysis Software or our PFL Z-score Calculator) and you reside outside the United States, you need to confirm you computer’s Regional Date. Sort your data from highest to lowest. Net library and Monte Carlo methods in R). Although stanines are in some ways simpler than z-scores, they have poorer 'resolution'. Get a Z score for normally distributed data using this online calculator. How to calculate a z score decimal value Can anyone shed light on this problem: How to obtain the 4 digit number of a z-score on excel (do not want to waste time lookin up z values) Does anyone know what the formula is to do so?. A z-score of 0 would represent the average score. Z = Z-score, service factor of required service level σd = Standard deviation of demand. Find the Z score for a data point. This methodology can be used to predict the chance of a business organization to move into bankruptcy within a given time, which is mostly about 2 years. P" function, type in this formula and press Enter (or access it through the "Formulas" menu). The percentile formula calculator will find the score for the desired percentile for a data set. Specifically, it describes the relationship between the expected value of a stock given the performance of the market as a whole and the stock's actual value. For example, if 70% of students are equal to or below your test score, your percentile rank is 70. If you don't have that table for the normal distribution, I can provide you my calculator for that number. >> What is Standard Deviation and How to Calculate it in Excel? Standard deviation is a commonly used statistic when analyzing data sets. It's the app that has an icon of a green sheet with an "X" in front 2. The standard normal distribution has been well-studied, and there are tables that provide areas underneath the curve, which we can then use for applications. Skip navigation Sign in. Estimated z-score(s) of the power of the test. Let's define this expression as z; this is also sometimes called the Z-score or standard score. 96 in our Normal Distribution Tables with Z Scores so you don't have to! First, note that a Z Score of 1. If you're interested, download the Excel file. However, MarketXLS exposes the function called =Beta(“Symbol”) to just return the current value of the beta against the respective index. work-learning. Most calculation errors happen in an intermediate step (such as calculating the z-score to look up) rather than the actual z-score itself. Remember that, like the table, we always need to provide this calculator with the area to the left of the z-score we are currently trying to find. Which I calculated manually in Measure. If you take the value of the area of the first z score and subtract it from the area of the second z score, this difference represents the area under the curve between these 2 z-score values. If not blank then calculate in Excel. This free sample size calculator determines the sample size required to meet a given set of constraints. QI Macros Histogram calculates several process capability analysis metrics. Even though there are lots of steps to this method from start to finish, it is a fairly simple calculation. How can I find a Z score from a p-value? I know how to look up the p-value from a Z score using a Normal distribution table, but I don't know how to calculate it. To calculate the 1 st Quartile we can use the following formula in cell F2. In the case of Yahoo default settings with 2012 stats, this value is 239. Excel can perform many different functions and one of the most basic is subtraction. For the first set, manually we found the Z value since the total value, mean value and standard deviation are given. Basic Tutorial of Excel. P to calculate the mean and standard deviation of your data, and then use those results to determine each value's z-score. Find the Z score for a data point. Excel asks you for a single range of cells containing ALL the data. There are currently several formulas to compute a z-score. To create a normally distributed set of random numbers in Excel, we’ll use the NORMINV formula. Specifically, it describes the relationship between the expected value of a stock given the performance of the market as a whole and the stock's actual value. The Single-Sample Z test This Tip Sheet provides an overview of how to perform the single-sample z test in Excel, which includes calculating the test statistic, finding the appropriate critical value for comparison, and finding the p-value of the computed z statistic. The basic z score formula for a sample is: z = (x – μ) / σ This is a formula that assumes a normal distribution for the z score is possible. The z-score corresponding to a left-tail area of 0. Use this Z-Score Calculator to calculate the standard normal score (z-score) based on the raw score value, the population mean, and the standard deviation of the population GoodCalculators. How to create a random sample in Excel Pro sign up Sign up free We get a lot of questions around here about random samples and how to create them (which tells us a thing or two about our customers and how survey smart they are). This Altman Z-Score calculator estimates the Altman’s Z score which predicts bankruptcy of a company by using few financial ratios and a multiple discriminant analysis statistical method. I am looking to calculate the z-scores for the number of calls answered by a given call center agent. Turn on the calculator by pressing the ON button (lowest left hand button). The z-score is the number of standard deviations you are from the mean of 0 (recall that by subtracting the mean and dividing the result by the standard deviation you convert your data to the standard normal distribution which has a mean of 0 and standard deviation of 1). From the perspective of hypothesis testing, z-score is a very important concept to understand because it is employed to test whether or not a test statistic falls in the acceptable range of value. These instructions work for Excel 2007 and Excel 2010. How to Calculate Subtotals in Excel How To : Calculate subtotals in Microsoft Excel Whether you're interested in learning Microsoft Excel from the bottom up or just looking to pick up a few tips and tricks, you've come to the right place. Z-Score Normalization – (Data Mining) Z-Score helps in the normalization of data. Below you will find a complete guide on how to subtract in Excel. 96 means that your statistic is 1. I have a table containing SNPs and their z-score and p-values. I have a table which provides some data: Level: 80% 90% 95% 98% 99% z-score: 1. Sample Size and Power for Test of One Sample Mean This Microsoft Excel workbook contains two worksheets: The first of these two worksheets provides an estimate of the sample size that would be required to achieve a desired power in a hypothesis test for the value of one sample mean. Ignore the Population/Sample selector unless you intend to examine the variance or the standard deviation. ZWTSTAT Cdc-excel [XLS – 48 KB] ZWTSTAT Cdc-excel [CSV – 20 KB] Weight-for-stature charts, selected weight z-scores in kilograms, by sex and stature (in centimeters) ZWTAGE Cdc-excel [XLS – 188 KB] ZWTAGE Cdc-excel [CSV – 98 KB] Weight-for-age charts, 2 to 20 years, selected weight z-scores in kilograms, by sex and age. In 1968, Edward Altman founded the ‘Z Score’ formula to predict bankruptcy. The ratios rely on these financial measures: Working Capital is equal to Current Assets minus Current Liabilities. This can also be achieved by using Excel. Similarly, not all standard scores come from a normal. The CGPA is found by adding total marks and. When I plug in the numbers into the excel for. TEST function in Microsoft Excel. Proceeding through the four steps is done is follows: Step 1) Calculate Width-Half of Confidence Interval. Background: In statistics, the z score (also called a z-value, standard score, or normal score) is the signed number of standard. Altman’s Z score is a linear discriminant model, that means it divides potential borrowers into two classes, either high risk or low risk. Step 2 – Create the Confidence Interval By Adding and Subtracting the Width of Half of the Confidence Interval from the Sample Mean. Calculate the first, second, and third quartiles. Calculate a z score for X = 0 2. Given: mean = 100, standard deviation = 25 z score = (150 - 100) / 25 = +2: Same as above. you then look into a table, or use a calculator, to find the z-score where the area of the normal distribution curve to the left of it is. The statistical tests in the Excel Data Analysis ToolPak include ANOVA, t-test and z-tests. Show Comments. Calculating Median Absolute Deviation and Modified Z-score Hi there, I'm working with a relatively small data set, so in order to better identify outliers I'm looking to calculate the modified z-score. P formulas to calculate the mean and standard deviation of your data and then use those results to determine the Z-Score of each value. The z-score is calculated using the difference between an individual sample measure and in terms of the standard deviation. Altman Z-Score (for private companies) is a mathematic (quantitative balance-sheet method) model used to evaluate the company’s probability of bankruptcy within the next two years. The Table need not be Exported to Excel. How do you calculate how many standard deviations a number is from the mean? the 'z-score' which has the following formula: standard are accepted. It is simple to do so on SPSS. Click on "Submit Data" submit the data. I'm working with a relatively small data set, so in order to better identify outliers I'm looking to calculate the modified z-score. If you use Microsoft Excel on a regular basis, odds are you work with numbers. Basic Tutorial of Excel. Excel returns the value 61. Background: In statistics, the z score (also called a z-value, standard score, or normal score) is the signed number of standard deviations by which an observation or data is above the mean. • Implemented the SABR model to calculate the volatility surface for pricing swaptions, and also priced vanilla-to-exotic options (using FinCAD’s C#. How to calculate frequency distribution in Excel? A frequency distribution is a summary of counting how often values occur within a range of values, take the following screenshot for example, column B contains the score numbers, D2:E6 is the score bands you specified by yourself, and the Frequency column get the value occurs based on the bands. Unless I misunderstood your problem, I see no way you can calculate this number without knowing a standard deviation. The 95% Confidence Interval is the interval for which we are 95% sure that the true mean of daily sales lies within. Instructions. See here to read up more about standard scoring if you're curious. A z-score is a statistical value that indicates how many standard deviations a given value comes from the mean of the entire record. Using Your TI-83/84 Calculator: Normal Probability Distributions Elementary Statistics Dr. µ = Mean of the given data set values. org are unblocked. Compute a z-score. Within SPSS the. Z-Test Two Sample for Means in Excel QI Macros Add-in for Excel Makes Conducting Z tests a Snap When to use the Z-Test two sample for means. A z-score of -1 means you are one standard deviation below the class average; that's about the 16th percentile. 1 - Enter the components of each of the two vectors, as real numbers in decimal from and press "Calculate Cross Product". To calculate defects per million, multiply the defect rate by one million. In a blank cell next to the cell of 5. In the example shown, the values in cells E3 and E4 are the 1st and 3rd quartiles for the data in range B3:B20. You can use PERCENTRANK to find the relative standing of a value within a data set. Once it is installed, you can access the ToolPak by going to the Data Tab. In Excel, you can easily get quartile values by using the QUARTILE function. This is the actual selling price of the car, before any incentives or taxes. You can format these cells to make them bold. One of the most useful among these is the ability to calculate a value known as variance. You can use the calculator to convert between PPM and sigma in both traditional Statistical Process Control and Six Sigma (and yes, the results are different). 45 intersects, it intersects between 1. If your Z score contains decimals, use the columns to the right. Most calculation errors happen in an intermediate step (such as calculating the z-score to look up) rather than the actual z-score itself. Subtract the value you just derived from 100 to calculate the percentage of values in your data set which are below the value you converted to a Z-score. This z-score based systemic risk measure requires publicly available accounting data only, and thus is applicable to both listed and unlisted banks. 576 These commonly. With n more than 30, you're allowed to use the sample std. What is the z score that corresponds to Alpha = 0. 67 was translated to a stanine of 8. The table of z distribution is shown below. The free Z-Score Bankruptcy Template uses the Z-score formula to determine, quickly and effortlessly, if your firm will go bankrupt within the next 2 years of operation. Calculate predicted z score for Y 3. The Altman Z-Score was published in 1968 by Edward Altman, and measures a company’s financial heatlth. where, is the observation, is the mean and is the standard deviation. When I plug in the numbers into the excel for. This Z score to raw score calculator calculates the raw score value based on the z score, mean, and standard deviation. You just need to enter a raw score, population mean and standard deviation, and hit "Calculate". Allocating values in proportion to a known value. The Altman Z-Score is an empirical model that predicts the probability of corporate bankruptcy. Example of the QI Macros DPMO Six Sigma Calculator Template. I have a table containing SNPs and their z-score and p-values. , but you don't even have THAT much. Second, Excel does the intermediate calculations for you. Install and uninstall and remove excel add-ins(COM add-ins. Sort your data from highest to lowest. How do you find the z score of a 99% confidence interval on calculator?. Where z-scores become most helpful is in comparing two samples to see if they are from the same distribution or not. Modified Z-score could be used to detect outliers in Microsoft Excel worksheet as described below. Out of this transformation falls the standard normal distribution below: The graph of this function is shown below. Compute the proportion of people in the population for each of the following ranges of IQ scores. Simple reshape data by excel add-ins. There are currently several formulas to compute a z-score. Works fine for all except if the person was hired in year 2000 then this formula shows 110 y. The Altman Z score spreadsheet is available for download in Excel format by following the link below. Let us understand how to calculate the Z-score and use the Z-table with a simple real life example. However, MarketXLS exposes the function called =Beta(“Symbol”) to just return the current value of the beta against the respective index. ” Work from cell A2 downwards, adding the ranges for which you want to calculate frequencies, for example you might move down in multiple of 50 dollars: “$0-$50,” “$50-$100,” “$100-$150” and so on,. Enter the mean formula in a blank cell. Code to add this calci to your website Just copy and paste the below code to your webpage where you want to display this calculator. Modified Z-score could be used to detect outliers in Microsoft Excel worksheet as described below. 96, by the symmetry property of the standard normal distribution. Let us take the example of Manny who recently appeared for SAT. 05, or in other words: if we set up alpha to be 0. The answer is a vector w. If you use Microsoft Excel on a regular basis, odds are you work with numbers. Usually its result is categorised into "distress risk", "gray area" and "safe area". Modified Z-score could be used to detect outliers in Microsoft Excel worksheet as described below. Or also, you may have a z-score and you want to compute the corresponding associated raw score, for which you can compute our raw score calculator. How do you calculate beta in Excel? FACEBOOK TWITTER LINKEDIN By Daniel Jassy, CFA. What is a Z-score? A Z-score, also known as a standard score, represents the number of standard deviations (SDs) a data point is away from the average (mean) of the group. With n more than 30, you're allowed to use the sample std. Specifically,. Now let's see how to create a bell curve in Excel. Get a Z score for normally distributed data using this online calculator. 25 and Mike who had a z-score of 1. TEST(array,x,sigma), 1 - Z. 9987 Cohen’s d:. The Altman Z-score is based on five financial ratios that. σ = Standard deviation of the give data set values. The 95% Confidence Interval is the interval for which we are 95% sure that the true mean of daily sales lies within. An Introduction to Excel's Normal Distribution Functions Excel provides several worksheet functions for working with normal distributions or 'bell-shaped curves. You can use the formulas AVERAGE and STDEV. A z-score of -1 means you are one standard deviation below the class average; that's about the 16th percentile. =QUARTILE(B2:B14,1) As you enter the formula, Excel provides a list of options for the quart argument. 4000 between 0 and it). The z Score calculated in the Mann-Whitney U Test will always negative because Test Statistic U is always set to equal the smaller of U 1 and U 2. The Z score allows you to calculate the probability that a normally distributed random variable x will fall within a desired. It is simple to do so on SPSS. In another cell, calculate the bottom portion of the distribution. To read the table, find the Z score in the left column Z. How do you Calculate a Z Score from DPMO? Ok. P Value from Z Score Calculator. Besides, such a company is also not likely to enter bankruptcy. Most calculation errors happen in an intermediate step (such as calculating the z-score to look up) rather than the actual z-score itself. Similarly, not all standard scores come from a normal. To make a formula for a percentage, you need to first make a formula to calculate the total sum of objects you are going to use. This calculator will tell you the normal distribution Z-score associated with a given cumulative probability level. To calculate how much it costs to lease a particular car, you will need the following information: Manufacturer's Suggested Retail Price (MSRP). The Altman Z-score is measured by multiplying each of these ratios by a factor and adding them up. 01 in the “area” box (outlined in blue) and then click “compute” to see the associated z-score. Using a z-score table, you can find where the score falls on the table and figure out what percentile the score falls in. Thus, to determine covariance, enter "=COVARIANCE. where, is the observation, is the mean and is the standard deviation. You can use Excel to find the actual value if your table doesn't go that high. Examples of Hypothesis Testing Formula (With Excel Template). What you want to do after finding a blank or not blank cell can be handled via a normal IF function. 69137525 confidence level= 95%. This methodology can be used to predict the chance of a business organization to move into bankruptcy within a given time, which is mostly about 2 years. Use this Z to P calculator to easily convert Z-scores to P-values (one or two-tailed) and see if a result is statistically significant. Helen, one of the volunteers, scored 74 (X) from maximum possible 120 points. =QUARTILE(B2:B14,3). Keyword CPC PCC Volume Score; probability tables z: 1. Calculate the proportion of scores between the mean and a particular Z-score; Calculate the proportion of scores between two Z-scores. I have a percentile data set bmiage from the CDC that includes the L,M, and S data---is there a formula in Excel that will calculate the Z-score and the percentile that corresponds to that Z score for a given parameter? I need to be able to determine the child's percentile on a given day based on age and BMI for children age 2 and above. Skip navigation Sign in. I also have a Call_Data table which contains a listing for. 1 - Enter the components of each of the two vectors, as real numbers in decimal from and press "Calculate Cross Product". find the z score that. Apply the. When you have a 95% confidence level, both the graph tails will have 2. Data Sets. This methodology can be used to predict the chance of a business organization to move into bankruptcy within a given time, which is mostly about 2 years. Calculate Z Score and probability using SPSS and Excel In statistical inference, we are interested to know whether a small sample comes from a population. Z Score Calculator. Z = Z-score, service factor of required service level σd = Standard deviation of demand. How to Calculate Safety Stock. Single Sample Z Score Calculator. Let's take an example of a class of students that have been scored in an exam. You will find here some basics lesson for people who just started learn Excel. You should not enter the double quotes when you type in the data. How to Calculate the Z-score in Excel Using Proportions > Back to top. Input the information from the company's financial statements into the highlighted cells of the 'Calculator' Then, compare your results to the standards shown in the bottom section of the 'Calculator' worksheet. I am looking to calculate the z-scores for the number of calls answered by a given call center agent. So we want the z-score for. The ratios rely on the following financial measures. Here are steps for creating a normal quantile plot in Excel: Place or load your data values into the first column. [Intro College Stats] - Empirical Rule and Percentiles I have a problem that I'm able to work out the answer based on drawing it, but I was wondering if there is some sort of formula I've missed to calculate this. This I do not understand -- the closest percent on the z-table is 0. Make a sheet to enter score and score is copy to the proper cell. You can close all workbooks with one command. Pull a Sample from a Population. Z-Score to Percentile Calculator Enter a z-critical value and get the area under the normal curve (a percentage). The formula to calculate z-score is. Sort your data from highest to lowest. Variance Calculator Standard Deviation Calculator Expected Value Calculator Z Score Calculator Z Score to Raw Score Calculator Chebyshev's Theorem Calculator Binomial Coefficient Calculator Bernoulli Trial Calculator. Behind = (B2-3. You can use our z-score calculator to determine this value for you. Excel can handle three types of probability calculations: more than, less than, and in between. Find the Z score for a data point. A Z score of 3 refers to 3 standard deviations. The Value at Risk resource and reference page. Below you will find a complete guide on how to subtract in Excel. Z (1968 version) = 1. The formula for calculating the standard score is given below:. Click on "Submit Data" submit the data. Z-Score Formula To convert any bell curve into a standard bell curve , we use the above formula. This Value at Risk (VaR) case study shows how to calculate VaR in Excel using two different methods (Variance Covariance and Historical Simulation) with publicly available data. Find b0 and b1 for the linear regression model with all three methods (two different formulas and Solver). The z-score will be used to determine the area [probability] underneath the distribution curve past the z-score value that we are interested in. Top 15% high $$ customers (z-score of the dollar_amt variable greater than +1) 2. No characters other than real numbers are accepted by the calculator. Remember, you dont need any raw score valures becasue a z score of 1 is a z score of 1 is a z score of 1. You will also get a step by step solution to follow. Let’s use the 333,333 DPMO we calculated in the example on the baseline sigma page. Z-Score Formula To convert any bell curve into a standard bell curve , we use the above formula. The Z Score model is a tool that can complement your other analytical tools. A percentile calculated with. 05 what is the z score that anything above it would cause us to reject the null hypothesis? Enter 0. What is the level of measurement for the following variables? a) SAT scores b) Number of tests or quizzes in statistical course c) Acres of land devoted to corn d) Number of break-ins in 2004 by neighborhood e) Social Security Number f) Impression of a certain place selected by recipients from a scale of 1 to 5. For the second set, directly Z score is given for 85 % of confidence level. Find out about Z-scores on Microsoft Excel with help from a computer expert in this free video clip. 96, but cannot find the formula to get this answer--plz help!! sample size =50 population size =500000 sample mean =147. And then we can take that z-score and use the mean and the standard deviation to come up with an actual value. That’s about as far as my calculator will go, otherwise you will need to devise/find a formula, use Excel, or on-line calculator to compute z-scores. calculate the size of a sample, as a percentage of a full set), this is done by dividing the sample size by the size of the full set. To calculate z-scores, percent predicted or the lower limit of normal for an individual subject we have developed a desktop program as well as an Excel program. This is not an easy integral to calculate by hand so I am going to use Python to calculate it. Selling Price. The percentile formula calculator will find the score for the desired percentile for a data set. Standardizing is just like changing units (for example, from Fahrenheit to Celsius). Keyword Research: People who searched altman z score calculator excel also searched. Second, Excel does the intermediate calculations for you. This is part of HAP 501 Business Statistics for Health Care Services at George Mason University. Method 1: Use AVERAGE and STDEV. Replace the variables array1 and array2 in the covariance formula with real data. The z-score, also known as standard score, is a measurement used in statistics. In case test statistic is less than z score, you cannot reject the null hypothesis. To calculate the z-score of a specific value, x, first you must calculate the mean of the sample by using the AVERAGE formula. If demand is constant but lead time variable, then you will need to calculate safety stock using the standard deviation of lead time. 025 is z = −1. The normal distribution 3. Calculate Z from P. The standard normal distribution has been well-studied, and there are tables that provide areas underneath the curve, which we can then use for applications. Z Score or T Score: Which Should You Use? Typically, when a sample size is big (more than 40) using z or t statistics is fine. To do that, click on any cell in the EXCEL worksheet. Make a sheet to enter score and score is copy to the proper cell. SAT scores are calculated by multiplying the z-score by 100 and then adding 500. MATH 109 z–scores and Confidence Intervals Given a “Standard Bell Curve Z” having mean 0 and standard deviation 1, a € z–score is the value zr such that P(–zr ≤ Z ≤ zr) = r. Step 4: Calculate the answer using a calculator :. 1, and then read over to the. MATH309 - Statistics Week 2 - Homework Deadline Due by the end of Week 2 at 11:59pm, ET. The Single-Sample Z test This Tip Sheet provides an overview of how to perform the single-sample z test in Excel, which includes calculating the test statistic, finding the appropriate critical value for comparison, and finding the p-value of the computed z statistic. -2 : add to compare YouTube. One of the most useful among these is the ability to calculate a value known as variance. I already know that the z-score should be 1. Statistical analysis allows you to find patterns, trends and probabilities within your data. This Excel Statistics series of video shows how to calculate proportions and percentages in Microsoft Excel. Explanation:. Problem Set 1. I want to calculate their effect and SE. There are a couple commonly used Microsoft Excel functions that converts Defects per Million Opportunities (DPMO) to a process sigma (z-score) and vice versa. , the Z-Score says bankruptcy is likely when in fact it is not) occurs approximately 10 - 20% of the time. Simply enter your Z score (we have a Z score calculator if you need to solve for the Z-statistic) and hit calculate. Download this calculator in an excel file or take a Crash course in Z-scores. To find it we need to use an inverse normal table or the excel function = NORMSINV(. " Without the equal sign, Excel will not calculate covariance because the formula will be recognized only as text. 16 10 2014 at 12:22 pm. Click on "Submit Data" submit the data. The question is as follows: One season, the average little league baseball game averaged 2 hours and 49 minutes (169 minutes) to complete. Please watch the below video on z-scores. Leave the first row blank for labeling the columns. Where z-scores become most helpful is in comparing two samples to see if they are from the same distribution or not. This gives you the corresponding standard score (z-value or z-score). Multiply the total number of data points by 0. Application of Altman Z Score / Bankruptcy Score Formula The formula is used to predict corporate defaults or bankruptcy or in academic language, financial distress position of companies. Now let’s see how to create a bell curve in Excel. P Functions. The Altman Z-score in practice uses multiple business income and. The raw score computed is the actual score, or value, obtained. Allocating values in proportion to a known value. In this video tutorial it shows you how to find the x-bar by using the Z-score formula. Let x be any number on our bell curve with mean, denoted by mu, and standard deviation denoted by sigma.


ai | 2017-05-01 00:00:00 +0000
A.I. Series Part 1 - Normalizing Data
Hellonext Team / 2017-05-01 00:00:00 +0000
In Machine Learning, more often than not, applying an algorithm to data is not hard, rather representing the data usually is. But sometimes representing data a certain way works for one algorithm, but completely implodes for another. So with all these variations, is there one compartmentalized approach to follow?
Yes! (well, kind of and 'kind of' in ML is 'good enough')
The boring definition of this mathematical approach would be,
Normalization is performed on data to remove amplitude variation and only focus on the underlying distribution shape.
Well, who does that make sense to? To put normalization in perspective, it can be defined as,
Normalization is performed on data to compare numeric values obtained from different scales.
Simply put, how do we compare a score 8 in a singing competition to a score of 100 in an I.Q. test? In order to do so, we need to "eliminate" the unit of measurement, and this operation is called normalizing the data.
So, normalization brings any dataset to a comparable range. It could be to squash down the data to fit between the range of [0,1] or [-1,1] or anything else!
Alright, so we know why we need normalization, but when do we use it?
In basic terms you need to normalize data when the algorithm predicts based on the weighted relationships formed between data points.
For example if you had a dataset that predicts the onset of diabetes where your data points are glucose levels and age, and your algorithm is PCA, you would need to normalize!
Why? Because, PCA predicts by maximizing the variance. Here, the glucose levels data point would vary in decimal points, but age would only differ by integer values. To bring them both to scale, use normalization! You can now compare glucose levels and age, even if they were initially meaningless.
However, if you were to use a decision tree, normalization wouldn't really matter, since it compares each data point to itself and not to any other data point.
Min Max Normalization transforms a value A to B which fits in the range [C,D]. We can do this by applying the formula below,
This ensures that no matter what scale your data is in, it will be converted to fall between the range of 0 to 1.
import numpy as np from sklearn.preprocessing import minmax_scale minmax_scale(np.array([1,2,3,4,5])) => array([ 0. , 0.25, 0.5 , 0.75, 1. ])
To see Min Max used on a real dataset, check this repo.
Max is quite similar to Min Max normalization. The only difference being is that the the normalized values will fall between a range of 1 and to a value less than or equal to 0.
import numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm="max") => array([[ 0.2, 0.4, 0.6, 0.8, 1. ]])
To see Max used on a real dataset, check this repo.
L1 is basically minimizing the sum of the absolute differences (S) between the target value (x) and the estimated values (x').
To understand it easily, its just adding all the values in the array and dividing each of it using the sum.
import numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm="l1") => array([[ 0.06666667, 0.13333333, 0.2 , 0.26666667, 0.33333333]])
To see L1 used on a real dataset, check this repo.
L2 minimizes the sum of the square of the differences (S) between the target value (x) and the estimated values (x').
Or in simpler terms, just divide each value by δ. Where δ is nothing but the square root of the sum of all the squared values.
import numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm="l2") => array([[ 0.13483997, 0.26967994, 0.40451992, 0.53935989, 0.67419986]])
To see L2 used on a real dataset, check this repo.
Simply put, a z-score is the number of standard deviations from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the dataset mean a datapoint is. A z-score is also known as a standard score and it can be placed on a normal distribution curve.
Z-scores range from -3 standard deviations (which would fall to the far left of the normal distribution curve) up to +3 standard deviations (which would fall to the far right of the normal distribution curve).
In order to use a z-score, you need to know the mean μ and also the population standard deviation σ.
Z-scores are a way to compare results from a test to a "normal" population. Results from tests or surveys have thousands of possible results and units. However, those results can often seem meaningless.
For example, knowing that someone's weight is 150 pounds might be good information, but if you want to compare it to the "average" person's weight, looking at a vast table of data can be overwhelming (especially if some weights are recorded in kilograms). A z-score can tell you where that person's weight is compared to the average population's mean weight.
For a complete implementation of Z-Score please have a look at this repo.
P.S.: Companies across the world trust us to build their A.I. systems to solve their business needs. Our engineers would be open to talking more on this.
Last updated: September 7th, 2023 at 7:42:06 AM GMT+0
Hellonext is a user feedback tool and this article was written by many people at Hellonext. Hellonext helps prioritize product roadmap based on user-input.


Cousins is a University of Leicester alumnus, holding a degree in statistics and pure mathematics, and it was while studying at Leicester, that he also formed the University Folk Club and organised the first folk festival.
“I am delighted to be awarded this honorary degree by the University of Leicester," he says on receiving the Honorary Degree. "My student days were a formative and highly rewarding experience. Those times in Leicester widened my musical horizons and established disciplines that I have used throughout to underpin my varied careers.”
Cousins was also happy to gave his fellow graduands advice drawn from his diverse career as well: “Don't think in straight lines ahead - think laterally. You never know what might be just around the corner.”


This addon will turn all LaTeX math on your forum to a fancy, sharp and scalable math!
It also adds the “Insert math” button to an editor that greately simplifies the process of adding math to your messages, threads, pages and so on. It also works with xenForo AJAX (loading content on the fly without page reloading) system!
This is an open source addon. You can visit GitHub repository for source code.
Math 2.1.0 – math plugin for XenForo 2
But if you want to
- Be informed of all news about developing new addons
- Suggest and vote for new addons
- Try beta versions
- Receive 24-hour early access to new addons
Then you can support me on my Patreon!
Users can write math formulas and equations with LaTeX notation wich then will be turned to a fancy math by powerful MathJax engine. Here is how it works:
Two types of math are supported: inline and block math. Inline math is smaller and commonly used inside the text. In the image above the cosmological constant (green) is an example of inline math.
Block is bigger and is used for standalone big equations and formulas. In the image above the Einstein field equation (blue) is an example of block math.
All math is rendered as text and automatically inherits all its properties: color, line height, font size and so on. As a result you get scalable math that perfectly fits any style and color scheme:


Here are some codes and analysis scripts that might be of interest to someone.
This is a code that creates a list of supernova locations to be used in SILCC-like simulations, see Girichidis et al. (2016) and Girichidis et al. (2018) for details. The spatial distribution of the SNe incudes three different components:
- a random component 1 uniformly distributed in x and y with a Gaussian distribution in z (scale height h1), used for type Ia SNe
- a random component 2 uniformly distributed in x and y with a Gaussian distribution in z (scale height h2), used for runaway SNe from clusters (Type II)
- and a clustered component with a randomly determined number of SNe per cluster. The positioning of the cluster is random (uniform) in x and y and Gaussian in z with scale height h2
Link to the tar ball
Analysis codes for wind tunnels
This is the set of analysis codes I used for Girichidis et al. (2021). The scripts are based on YT (python)


You made your sample and its not square. 🙁 Which measurement do I use?
If the difference is minimal use an average of both. For example:
Assuming you have laid 30cm x 30cm accurately.
One side measures 15cm and the other 17cm then use 16cm.
The maths: 15 + 17 = 32. 32 / 2 = 16. This is the average.
If the difference is large there are a couple of questions to ask:
If all else fails remake the sample and try again.
But if you have used an odd number of layers then you need two shrinkage rates, one vertical and one horizontal:
- Make your sample.
- Measure and designate one side vertical (16.5cm) and one side horizontal (15cm).
- Vertical – 30/16.5 = 1.8
- Horizontal – 30/15 = 2
Now apply to your template. I’ll use the bag example from the last post – the finished size is 60cm deep (vertical) and 45cm wide (horizontal).
- Vertical is 60cm x 1.8 = 108cm
- Horizontal is 45cm x 2 = 90cm.
Full until bag is finished size.
Next post recommended shrinkage rates.


This program calculates how many possible songs you could write in one measure of music, depending on configurable settings like the time signature.
The project was inspired by this Vsauce video from 2012:
In the video, Michael cites an article from 2000 that uses music theory to answer the question of how many songs could possibly be written. Here is that article:Visit "How many melodies are there in the universe?"
To define some boundaries around the problem, the author limits the possible songs to songs that are only one measure long, with a 4-4 time signature (common time), and with only 12 possible notes/pitches that are no shorter than 32nd notes. Notes also can't overlap to make chords, so this calculation would be appropriate for monophonic instruments like wind instruments.
It's a great article, but I was curious about what the total number of combinations would be if you use different parameters from the author's (like different key signatures). That's why I made an interactive calculator, with configurable settings. The calculator uses this formula, which I'll hopefully explain in a future video:
Total possibilities = (number of pitches + 1) * ( (number of pitches + 2) ^ (smallest note duration [as an integer] - 1) )
If you plugged in the parameters from the article, my formula would give you this answer:
Total possibilities = (12 + 1) * ( (12 + 2) ^ (32 - 1) )
Total possibilities = 4,404,660,688,698,196,366,793,268,778,376,364,032
That number would match the article's answer, if not for the fact that the article also allows the notes to slide from one pitch to a different pitch, like you'd do on a trombone, and my formula doesn't allow for that.
Music is a lot more nuanced than either formula accounts for. Most songs have a lot of things that neither formula takes into account, such as:
These factors would explode the number of possibilities far past the thirty-seven-digit number above. Overall, there isn't really a single objective way to answer the question "how many songs could possibly exist?", but I think my answer could at least be considered a good lower bound, and it's a very big lower bound.
My calculator can't do a lot of things, but it can at least account for songs that have tuplets, like triplets and quintets. For example, you could allow for quarter-note triplets (aka crotchet triplets) by entering a "sixth" note as the custom smallest duration (or some multiple of six). That's because you could think of a quarter-note triplet as being one third of a half note, and 1/3 * 1/2 = 1/6.
The calculator also allows you to change the time signature, which I wanted to mention because you may not notice it at first.


Applications are invited on prescribed format for the following assignment in a purely time bound research project undertaken in the Department of Mathematics of the Institute.
1. Name of the Temporary Post : Junior Research Fellow (1 post) (Project Code: SR/21/MA/011)
2. Name of the Research Project : “Analytical and Numerical Solutions for Stochastic Integral and Differential Equations in Mathematical Modelling”
3. Name of the Sponsoring Agency : National Board for Higher Mathematics (NBHM),Department of Atomic Energy, Government of India
4 Tenure of the Project : 03 years
5 Tenure of the Assignment : 03 years or completion of the project, which is earlier
6 Job Description : Full time Research and development related to the Project. Research work will lead to Ph.D. at NIT Rourkela
7. Consolidated monthly compensation / Fellowship: Rs. 31,000/- (1st & 2nd year) & Rs. 35,000/- (3rd year)
8. Essential Qualifications and experience: M.Sc.(Maths.) with 65% or 7.0 CGPA or equivalent. NET/GATE with valid score is desirable. Having adequate knowledge in Computer programming.
9. Desirable Qualifications/ Experiences: (i) Deep knowledge in Functional Analysis, Partial Differential Equation, Analytical and Numerical Methods and Algebra (ii) Having some exposure to Mathematical Software.
10. Accommodation : Bachelor accommodation in the Institute may be provided subject to availability.


2017-18 Data Results
9 October 2018 (by admin)
We had a fantastic set of data results last year, with above average attainment across all nationally reported year groups.
EYFS Good level of development 82% National 71% (11% above national)
Year 1 Phonics 100%, National 81% (19% above national)
Year 2 Reading, Writing and Maths expected standard, 92%, National 73% (19% above national)
Year 6 Reading, Writing and Maths expected standard, 80%, National 64% (16% above national)
This is the best set of results the school has had since the new National Curriculum came into place in 2014. These results reflect the hard work of all the children over the last academic year and I am sure this will continue this year.


Name Lucky Numbers - Calculate and Win?
In Search for Luck
As luck is recognized to be the notion, which rules in the gambling world, the history of versatile superstitions and myths is closely connected with searching for ways to attract it.
In particular, as far as gambling numerology has already gained enough popularity among the players, the clues to one's lucky numbers are nowadays defined as one of the ultimate goals, no matter if one is fond of playing roulette, or slot variations, for instance.
Along with the so-called birth lucky numbers, which are distinguished according to the date of one's birth, the gamblers are frequently advised to try figure out their name lucky numbers, which will, perhaps, also bring them a fortune.
How to Count
The procedure of counting one's name lucky number is the following:
1. One's full first name is written on a sheet of paper.
2. According to the special chart, where it's displayed, how letters correspond to numbers, a person should calculate the total number of his/her name.
NB! Here's the most common classification:
1 - A, I, J, Y, Q
2 - B, K, R
3 - C, G, L, S
4 - D, M, T
5 - E, H, N, X
6 - U, V, W
7 - O, Z
8 -F, P
3. If this total number is 10, or more, one should add the digits in it, until the number from 1 to 9 is left.
For example, if one's name is Paul, then the total number is 8+1+6+3 = 18, whereas the lucky number is 1+8 = 9.
Mind the Combinations
Furthermore, despite the fact, that betting on people's name lucky numbers is often suggested as a key to increase their winnings, a gambler should also beware of some combinations, which although include his/her name lucky number, may, actually, turn out to be one of the bad-luck bringers.
Notably, the winning combinations include the following:
- 1 in combination with 4, 8, 9;
- 2 in combination with 5, 6, 7, 9;
- 3 in combination with 5, 6, 7, 9;
- 4 in combination with 1, 6, 8;
- 5 in combination with 3, 5, 9;
- 6 in combination with 3, 4, 9;
- 7 in combination with 2, 3, 6;
- 8 in combination with 1, 2, 4;
- 9 in combination with 1, 2, 3, 6.
At the same time, the so-called negative number combinations comprise:
- 1 together with 6, 7;
- 2 together with 5;
- 3 together with 4, 8;
- 4 together with 3, 5;
- 5 together with 2, 4;
- 6 together with 1, 8;
- 7 together with 1, 9;
- 8 together with 3, 6;
- 9 together with 7.
Moderation is Success
In a nutshell, despite the fact, that knowing one's name lucky number is often considered advantageous in terms of casino games, it's necessary to remember that lucky numbers are often recognized as one of the mere gambling superstitions, so overestimating their importance might also be harmful for the players' funds.
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Abandonment ( n. ) The act of abandoning, or the state of being abandoned; total desertion; relinquishment.
To increase awareness of women's ongoing contributions to the mathematical sciences, the Association for Women in Mathematics (AWM) and Math for America are co-sponsoring an essay contest for biographies of contemporary women mathematicians and statisticians in academic, industrial, and government careers.
The essays will be based primarily on an interview with a woman currently working in a mathematical sciences career. This contest is open to students in the following categories: Grades 6-8, Grades 9-12, and College Undergraduate. At least one winning submission will be chosen from each category. Winners will receive a prize, and their essays will be published online at the AWM web site. Additionally, a grand prize winner will have his or her submission published in the AWM Newsletter.
The Deadline for the 2015 AWM Essay Contest is January 31, 2015.
If you know someone who wants to participate, we can help with suggestions for whom to interview. Contact us at .
SEEKING VOLUNTEERS TO BE INTERVIEWED AND/OR HELP WITH JUDGING
We are currently seeking women mathematicians to volunteer as the subjects of these essays, and in February-early March we will need people (male or female, but not current students) to help with the judging. To sign up as a volunteer please fill out the form at
For more information, contact Dr. Heather Lewis, the contest organizer, by email at .
See contest information at:
Singular Nouns Starting with A . Aam (n.) A Dutch and German measure of liquids, varying in different cities, being at Amsterdam about 41 wine gallons, at ...