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- Introduction to Statistics and Data Analysis
- Probability Distributions
- Introduction to Statistics and Data Analysis
- Data Analysis, Statistics and Probability

*Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.*

K-2 , , A video- and web-based course on basic concepts of statistics for K-8 teachers; 11 half-hour video programs, course guide, and website. These courses, organized around the content standards of the National Council of Teachers of Mathematics NCTM , will help you better understand the mathematics concepts underlying the content that you teach.

In this course, you can build your skills through investigations of different ways to collect and represent data, and describe and analyze variation in data. Through practical examples, you will come to understand some statistical concepts, such as data representation, variation, the mean and median, bivariate data, probability, designing statistical experiments, and population estimations. The concluding case studies, divided into grade bands for K-2, , and teachers, show you how to apply what you have learned in your own classroom.

The course consists of 10 two-and-a-half hour sessions — nine topic sessions and a classroom case study targeted to the three different grade bands. Each has a half-hour of video programming, problem-solving activities available in print and on the Web, interactive activities and demonstrations on the Web, and questions for class discussion or individual reflection.

Gary Kader is a professor of mathematical sciences at Appalachian State University. He has been active in the development of educational materials for teaching and learning statistics through his involvement with six statistics education projects funded by the National Science Foundation. These projects developed innovative approaches to teaching and learning statistics and provided professional development opportunities for college faculty.

His work in statistics education has focused on activity-based approaches to learning statistical concepts and problem-solving. Content Developer L. Mike Perry Mike Perry retired in from Appalachian State University, where he was a professor of mathematical sciences and now works as a consultant in statistics education.

His interest in the teaching of statistics led him to direct six projects funded by the National Science Foundation; these efforts developed new approaches to learning statistical ideas, provided teacher education in statistics, and offered professional development to college faculty.

His writing focuses on activity-based approaches for learning statistical concepts and problem-solving. He currently serves as a consultant for the Advanced Placement Program in statistics and frequently reviews articles for The Mathematics Teacher.

He received a Ph. Krus, David and Webb, James Autumn, Principles and Standards for School Mathematics. All rights reserved. Pennies from Heaven — Nickels from Where? Mathematics Teaching in the Middle School, 3 3 , Continued Continued Continued. Learning Statistics with Technology. Stem-and-Leaf Plots in the Primary Grades. Sticks to the Roof of Your Mouth? Kader, Gary March, Means and MADS. Uccellini, John C. November-December, Teaching the Mean Meaningfully.

Noether, Gottfried Kader, Gary and Perry, Mike February, Perry, Mike Spring, Perry, Mike and Kader, Gary February, Counting Penguins. Woolley, Thomas Autumn, Edited by Donald L. However, the contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. Content Developers Gary D. Session 4: The Median: Salary. Michelle Holmes, The Channing Laboratory. Consider statistics as a problem-solving process and examine its four components: asking questions, collecting appropriate data, analyzing the data, and interpreting the results.

This session investigates the nature of data and its potential sources of variation. Variables, bias, and random sampling are introduced. Explore different ways of representing, analyzing, and interpreting data, including line plots, frequency tables, cumulative and relative frequency tables, and bar graphs. Learn how to use intervals to describe variation in data. Learn how to determine and understand the median. Continue learning about organizing and grouping data in different graphs and tables.

Learn how to analyze and interpret variation in data by using stem and leaf plots and histograms. Learn about relative and cumulative frequency. Investigate various approaches for summarizing variation in data, and learn how dividing data into groups can help provide other types of answers to statistical questions.

Understand numerical and graphic representations of the minimum, the maximum, the median, and quartiles. Learn how to create a box plot. Explore the concept of the mean and how variation in data can be described relative to the mean. Concepts include fair and unfair allocations, and how to measure variation about the mean.

Examine how to collect and compare data from observational and experimental studies, and learn how to set up your own experimental studies. Analyze bivariate data and understand the concepts of association and co-variation between two quantitative variables.

Explore scatter plots, the least squares line, and modeling linear relationships. Investigate some basic concepts of probability and the relationship between statistics and probability. Learn about random events, games of chance, mathematical and experimental probability, tree diagrams, and the binomial probability model. Learn how to select a random sample and use it to estimate characteristics of an entire population.

Learn how to describe variation in estimates, and the effect of sample size on an estimate's accuracy. Explore how the concepts developed in this course can be applied through a case study of a K-2 teacher, Ellen Sabanosh, a former course participant who has adapted her new knowledge to her classroom. Explore how the concepts developed in this course can be applied through case studies of a grade teacher, Suzanne L'Esperance and grade teacher, Paul Snowden, both former course participants who have adapted their new knowledge to their classrooms.

Continued Kader, Gary March, Session 1 Statistics As Problem Solving Consider statistics as a problem-solving process and examine its four components: asking questions, collecting appropriate data, analyzing the data, and interpreting the results. Session 2 Data Organization and Representation Explore different ways of representing, analyzing, and interpreting data, including line plots, frequency tables, cumulative and relative frequency tables, and bar graphs. Session 3 Describing Distributions Continue learning about organizing and grouping data in different graphs and tables.

Session 4 Min, Max and the Five-Number Summary Investigate various approaches for summarizing variation in data, and learn how dividing data into groups can help provide other types of answers to statistical questions. Session 5 Variation About the Mean Explore the concept of the mean and how variation in data can be described relative to the mean.

Session 6 Designing Experiments Examine how to collect and compare data from observational and experimental studies, and learn how to set up your own experimental studies. Session 7 Bivariate Data and Analysis Analyze bivariate data and understand the concepts of association and co-variation between two quantitative variables. Session 8 Probability Investigate some basic concepts of probability and the relationship between statistics and probability.

Session 9 Random Sampling and Estimation Learn how to select a random sample and use it to estimate characteristics of an entire population. Session 10 Classroom Case Studies, Grades K-2 Explore how the concepts developed in this course can be applied through a case study of a K-2 teacher, Ellen Sabanosh, a former course participant who has adapted her new knowledge to her classroom. Session 11 Classroom Case Studies, Grades Explore how the concepts developed in this course can be applied through case studies of a grade teacher, Suzanne L'Esperance and grade teacher, Paul Snowden, both former course participants who have adapted their new knowledge to their classrooms.

Session 12 Classroom Case Studies, Grades

Statgraphics contains several procedures for manipulating statistical probability distributions. Each of more than 50 distributions may be plotted, fit to data, and used to calculate critical values or tail areas. Random samples may also be generated from each of the distributions with this stat software. The Statgraphics Probability Distributions procedure calculates probabilities for 46 discrete and continuous distributions. The stat software will plot the probability density or mass function, cumulative distribution function, survivor function, log survivor function, or hazard function. It also calculates critical values and tail areas. Random samples may be generated from any of the distributions given specified parameters value.

K-2 , , A video- and web-based course on basic concepts of statistics for K-8 teachers; 11 half-hour video programs, course guide, and website. These courses, organized around the content standards of the National Council of Teachers of Mathematics NCTM , will help you better understand the mathematics concepts underlying the content that you teach. In this course, you can build your skills through investigations of different ways to collect and represent data, and describe and analyze variation in data. Through practical examples, you will come to understand some statistical concepts, such as data representation, variation, the mean and median, bivariate data, probability, designing statistical experiments, and population estimations. The concluding case studies, divided into grade bands for K-2, , and teachers, show you how to apply what you have learned in your own classroom. The course consists of 10 two-and-a-half hour sessions — nine topic sessions and a classroom case study targeted to the three different grade bands.

Any time a die is rolled or a coin is flipped, probability comes into play, determining the outcome of the roll or the flip. Studying probability enables you to better understand this fundamental concept of everyday life. Intricately connected with probability, statistics is the process of collecting, arranging, and analyzing data involved with events. Probability and statistics are generally studied together, teaching you skills you can apply to many different areas of life, both professional and personal. A probability and statistics course will include subtopics such as arithmetic mean, distribution, analytics, and variance. Introduction to Probability PDF.

*This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.*

Help Advanced Search. We gratefully acknowledge support from the Simons Foundation and member institutions. Data Analysis, Statistics and Probability Authors and titles for physics. Journal-ref: Ultramicroscopy ,

CT4ME has identified resources related to each benchmark of the Ohio Mathematics Academic Content Standards that students should have mastered by the end of the grades program. Below each benchmark, you will find Web resources for reviewing the concept and practice problems. Students should be able to review on their own using these resources. If you are not an Ohio educator, these resources can still benefit your test prep efforts, as benchmarks in other states are similarly stated. You can print the entire booklet, or just those pages for benchmarks you need to work on. Write notes in the booklet next to each resource you use in your review. You might need to download Java , a free plug-in to interact with virtual manipulatives on this page.

Help Advanced Search. We gratefully acknowledge support from the Simons Foundation and member institutions. Allu , Jayadeva , N. Anoop Krishnan. Subjects: Optics physics. Part II.

Search this site. Welcome to Mr. Chapter 01 - Foundations for Algebra. Chapter 02A - Equations. Chapter 02B - Equations.

Each task sheet is organized around a central problem taken from real-life experiences of the students. The pages of this resource contain a variety of content and levels of difficulty so as to provide students with different learning opportunities. Included in our resource are activities to help students learn how to collect, organize, analyze, interpret, and predict data probabilities. The task sheets offer space for reflection and the opportunity for the appropriate use of technology. Also contained are assessment and standards rubrics, review sheets, test prep, color activity posters and bonus worksheets. What would you like to know about this product?

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