Teaching Statistics

Author: Andrew Gelman
Publisher: Oxford University Press
ISBN: 0191088641
Format: PDF
Download Now
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'— with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.

Teaching Statistics

Author: Andrew Gelman
Publisher: Oxford University Press
ISBN: 0198785690
Format: PDF, Docs
Download Now
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.

Teaching Statistics

Author: Andrew Gelman
Publisher: OUP Oxford
ISBN: 0191606995
Format: PDF, Mobi
Download Now
Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

A Guide to Teaching Statistics

Author: Michael R. Hulsizer
Publisher: John Wiley & Sons
ISBN: 9781444305241
Format: PDF, ePub
Download Now
A Guide to Teaching Statistics: Innovations and Best Practices addresses the critical aspects of teaching statistics to undergraduate students, acting as an invaluable tool for both novice and seasoned teachers of statistics. Guidance on textbook selection, syllabus construction, and course outline Classroom exercises, computer applications, and Internet resources designed to promote active learning Tips for incorporating real data into course content Recommendations on integrating ethics and diversity topics into statistics education Strategies to assess student's statistical literacy, thinking, and reasoning skills Additional material online at www.teachstats.org

Red State Blue State Rich State Poor State

Author: Andrew Gelman
Publisher: Princeton University Press
ISBN: 140083211X
Format: PDF
Download Now
On the night of the 2000 presidential election, Americans watched on television as polling results divided the nation's map into red and blue states. Since then the color divide has become symbolic of a culture war that thrives on stereotypes--pickup-driving red-state Republicans who vote based on God, guns, and gays; and elitist blue-state Democrats woefully out of touch with heartland values. With wit and prodigious number crunching, Andrew Gelman debunks these and other political myths. This expanded edition includes new data and easy-to-read graphics explaining the 2008 election. Red State, Blue State, Rich State, Poor State is a must-read for anyone seeking to make sense of today's fractured political landscape.

Teaching Probability

Author: Jenny Gage
Publisher: Cambridge University Press
ISBN: 1316605892
Format: PDF, ePub, Mobi
Download Now
This title focuses on the approaches that can be taken in the classroom to develop skills and a conceptual understanding of probability. Written by leading subject specialists, Teaching Probability is designed to support teaching concepts in probability by providing a new approach to this difficult subject from a perspective not limited by a syllabus, giving teachers both theoretical and practical knowledge of an innovative way of teaching probability. This alternative approach to teaching probability focuses on the methods that teachers can apply to help their students engage with the topic using experiments and mathematical models to solve problems, considering how to overcome common misconceptions and the way in which probability can be communicated.

Beginning Statistics with Data Analysis

Author: Frederick Mosteller
Publisher: Courier Corporation
ISBN: 0486782255
Format: PDF, Mobi
Download Now
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.

Continuous Improvement Probability and Statistics

Author: William Hooper
Publisher: CRC Press
ISBN: 1351979248
Format: PDF, ePub, Mobi
Download Now
This book is for those that have struggled with the concept of statistics, have a genuine fear of data, and think the world of continuous improvement and experimentation is designed for few to understand. This book answers the question, why can’t every operator, technician, student, manager and leader understand the fundamentals of data and the science of data analysis for continuous improvement. There are many books on teaching and many books on magic and juggling, but few books connect the two. This book will change the learning process by using magic and juggling to explain probability theory and statistics to front-line operators so they can understand how to utilize the data.

A Quantitative Tour of the Social Sciences

Author: Andrew Gelman
Publisher: Cambridge University Press
ISBN: 0521861985
Format: PDF, Docs
Download Now
In this book, prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.