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This practical textbook by David Moore and William Notz introduces a conceptual approach to statistics and shows students how use these ideas to think about the statistical claims they see every day from polls, campaigns, advertising, public policy, and many different fields of study.
The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand impact of statistics on all aspects of their lives.
List of contents
1 Where Do Data Come From?
2 Samples, Good and Bad
3 What Do Samples Tell Us?
4 Sample Surveys in the Real World
5 Experiments, Good and Bad
6 Experiments in the Real World
7 Data Ethics
8 Measuring
9 Do the Numbers Make Sense?
10 Graphs, Good and Bad
11 Displaying Distributions with Graphs
12 Describing Distributions with Numbers
13 Normal Distributions
14 Describing Relationships: Scatterplots and Correlation
15 Describing Relationships: Regression, Prediction, and Causation
16 The Consumer Price Index and Government Statistics
17 Thinking about Chance
18 Probability Models
19 Simulation
20 The House Edge: Expected Values
21 What Is a Confidence Interval?
22 What Is a Test of Significance?
23 Use and Abuse of Statistical Inference
24 Two-Way Tables and the Chi-Square Test
Index
About the author
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts. William I. Notz is Professor of Statistics at the Ohio State University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education.
Summary
Moore uses a conceptual approach to statistics and shows students how to use these ideas to think about the statistical claims they see.
