Introduction To The Practice Of Statistics / With Cd-rom - 4th edition

Moore, David S. : Purdue University

McCabe, George P. : Purdue University

* These sections contain optional material

Preface
What Is Statistics?

PART 1. DATA
1. LOOKING AT DATA--DISTRIBUTIONS
Introduction
Displaying Distribution with Graphs
Describing Distributions with Numbers
The Normal Distributions
More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers

2. LOOKING AT DATA--RELATIONSHIPS
Introduction
Scatterplots
Correlation
Least-Squares Regression
Cautions About Regression and Correlation
The Question of Causation
Transforming Relationships* NEW!
New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations

3. PRODUCING DATA
Introduction
First Steps
Design of Experiments
Sampling Design
Toward Statistical Inference
New coverage on sampling from large populations

PART II. PROBABILITY AND INFERENCE
4. PROBABILITY: THE STUDY OF RANDOMNESS
Randomness
Probability Models
Random Variables
Means and Variance of Random Variables
More About Probability*
New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application

5. FROM PROBABILITY TO INFERENCE
Sampling Distributions for Counts and Proportions
The Sampling Distribution of a Sample Mean
Control Charts*

6. INTRODUCTION TO INFERENCE
Estimating With Confidence
Tests of Significance
Use and Abuse of Tests
Power and Inference as a Decision*

7. INFERENCE FOR DISTRIBUTIONS
Inference for the Mean of a Population
Comparing Two Means
Optional Topics in Comparing Distributions*
New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)

8. INFERENCE FOR PROPORTIONS
Inference for a Single Proportion
Comparing Two Proportions

PART III. TOPICS ON INFERENCE
9. INFERENCE FOR TWO-WAY TABLES
Data Analysis for Two-Way Tables NEW!
Inference for Two-Way Tables
Formulas and Models for Two-Way Tables*
Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests

10. INFERENCE FOR REGRESSION
Simple Linear Regression
More Detail About Simple Linear Regression*
Reorganized sections to present essential material

11. MULTIPLE REGRESSION
New discussion of data analysis for multiple regression

12. ONE-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for one-way analysis of variance

13. TWO-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for two-way analysis of variance

Data Appendix

AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT
14. NONPARAMETRIC TESTS
Introduction
The Wilcoxon Rank Sum Test
The Wilcoxon Signed Rank Test
The Kruskal-Wallis Test

15. LOGISTIC REGRESSION