Teaching Statistics
by Andrew Gelman; Deborah NolanFormat: Nonspecific Binding
Pub. Date: 2017-08-03
Publisher(s): Oxford University Press Academic UK
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Author Biography
Andrew Gelman, Columbia University,Deborah Nolan, University of California
Andrew Gelman is Professor of Statistics and Professor of Political Science and Director of the Applied Sciences Center at Columbia University. He has published over 250 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy.
Deborah Nolan is Professor of Statistics at the University of California, Berkeley. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.
Table of Contents
1. Introduction
Introductory probability and statistics
2. First week of class
3. Descriptive statistics
4. Statistical graphics
5. Linear regression and correlation
6. Data collection
7. Statistical literacy and the news media
8. Probability
9. Statistical inference
10. Multiple regression and nonlinear models
11. Lying with statistics
Putting it all together
12. How to do it
13. Structuring an introductory statistics course
14. Teaching statistics to social scientists
15. Statistics diaries
16. A course in statistical communication and graphics
More advanced courses
17. Decision theory and Bayesian statistics
18. Student activities in survey sampling
19. Problems and projects in probability
20. Directed projects in a mathematical statistics course
21. Statistical thinking in a data science course
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