We have taught introductory statistics to college students for several years. There are a variety of good textbooks at this level, all of which cover the material pretty well. However, we found it a challenge to keep students motivated in class. Statistics is problem-solving. Watching the instructor solve a problem on the blackboard is not as effective or satisfying for students as actively involving themselves in problems.
CONTENTS
1 Introduction
2 First week of class
3 Descriptive statistics
4 Linear regression and correlation
5 Data collection
6 Statistical literacy and the news media
7 Probability
8 Statistical inference
9 Multiple regression and nonlinear models
10 Lying with statistics
11 How to do it
12 Structuring an introductory statistics course
13 Decision theory and Bayesian statistics
14 Student activities in survey sampling
15 Problems and projects in probability
16 Directed projects in a mathematical statistics course
Notes
References
Author Index
Subject Index
CONTENTS
1 Introduction
2 First week of class
3 Descriptive statistics
4 Linear regression and correlation
5 Data collection
6 Statistical literacy and the news media
7 Probability
8 Statistical inference
9 Multiple regression and nonlinear models
10 Lying with statistics
11 How to do it
12 Structuring an introductory statistics course
13 Decision theory and Bayesian statistics
14 Student activities in survey sampling
15 Problems and projects in probability
16 Directed projects in a mathematical statistics course
Notes
References
Author Index
Subject Index
Páginas : 316
Peso : 4mb.
Formato : PDF.
Edición : Primera
Año de Publicación :2002
ISBN : 978-0198572244
Editorial : Oxford University Press
Autor Andrew Gelman, Deborah Nolan
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