Includes bibliographical references and index.

1. Introduction to Statistics 1-1 Overview 1-2 Types of Data 1-3 Critical Thinking 1-4 Design of Experiments 2. Summarizing and Graphing Data 2-1 Overview 2-2 Frequency Distributions 2-3 Histograms 2-4 Statistical Graphics 3. Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3-2 Measures of Center 3-3 Measures of Variation 3-4 Measures of Relative Standing 3-5 Exploratory Data Analysis (EDA) 4. Probability 4-1 Overview 4-2 Fundamentals 4-3 Addition Rule 4-4 Multiplication Rule: Basics 4-5 Multiplication Rule: Complements and Conditional Probability 4-6 Probabilities Through Simulations 4-7 Counting 4-8 Bayes' Theorem (on CD-ROM) 5. Probability Distributions 5-1 Overview 5-2 Random Variables 5-3 Binomial Probability Distributions 5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution 5-5 The Poisson Distribution 6. Normal Probability Distributions 6-1 Overview 6-2 The Standard Normal Distribution 6-3 Applications of Normal Distributions 6-4 Sampling Distributions and Estimators 6-5 The Central Limit Theorem 6-6 Normal as Approximation to Binomial 6-7 Assessing Normality 7. Estimates and Sample Sizes 7-1 Overview 7-2 Estimating a Population Proportion 7-3 Estimating a Population Mean: s Known 7-4 Estimating a Population Mean: s Not Known 7-5 Estimating a Population Variance 8. Hypothesis Testing 8-1 Overview 8-2 Basics of Hypothesis Testing 8-3 Testing a Claim about a Proportion 8-4 Testing a Claim about a Mean: s Known 8-5 Testing a Claim about a Mean: s Not Known 8-6 Testing a Claim about Variation 9. Inferences from Two Samples 9-1 Overview 9-2 Inferences about Two Proportions 9-3 Inferences about Two Means: Independent Samples 9-4 Inferences from Matched Pairs 9-5 Comparing Variation in Two Samples 10. Correlation and Regression 10-1 Overview 10-2 Correlation 10-3 Regression 10-4 Variation and Prediction Intervals 10-5 Multiple Regression 10-6 Modeling 11. Multinomial Experiments and Contingency Tables 11-1 Overview 11-2 Multinomial Experiments: Goodness-of-Fit 11-3 Contingency Tables: Independence and Homogeneity 11-4 McNemar's Test for Matched Pairs 12. Analysis of Variance 12-1 Overview 12-2 One-Way ANOVA 12-3 Two-Way ANOVA 13. Nonparametric Statistics 13-1 Overview 13-2 Sign Test 13-3 Wilcoxon Signed-Ranks Test for Matched Pairs 13-4 Wilcoxon Rank-Sum Test for Two Independent Samples 13-5 Kruskal-Wallis Test 13-6 Rank Correlation 13-7 Runs Test for Randomness 14. Statistical Process Control 14-1 Overview 14-2 Control Charts for Variation and Mean 14-3 Control Charts for Attributes 15. Projects, Procedures, Perspectives 15-1 Projects 15-2 Procedure 15-3 Perspective Appendices Appendix A: Tables Appendix B: Data Sets Appendix C: Glossary Appendix D: Bibliography Appendix E: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises) Credits Index

"Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics. This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market. Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on a development of statistical literacy and critical thinking."--