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Chapter 1 Introduction to Statistics 2
1-1 Review and Preview 4
1-2 Statistical Thinking 4
1-3 Types of Data 11
1-4 Critical Thinking 17
1-5 Collecting Sample Data 26
Chapter 2 Summarizing and Graphing Data 44
2-1 Review and Preview 46
2-2 Frequency Distributions 46
2-3 Histograms 55
2-4 Statistical Graphics 59
2-5 Critical Thinking: Bad Graphs 70
Chapter 3 Statistics for Describing, Exploring, and Comparing Data 82
3-1 Review and Preview 84
3-2 Measures of Center 84
3-3 Measures of Variation 99
3-4 Measures of Relative Standing and Boxplots 114
Chapter 4 Probability 136
4-1 Review and Preview 138
4-2 Basic Concepts of Probability 138
4-3 Addition Rule 152
4-4 Multiplication Rule: Basics 159
4-5 Multiplication Rule: Complements and Conditional Probability 171
4-6 Probabilities Through Simulations 178
4-7 Counting 184
4-8 Bayes’ Theorem (on CD-ROM) 193
Chapter 5 Discrete Probability Distributions 202
5-1 Review and Preview 204
5-2 Random Variables 205
5-3 Binomial Probability Distributions 218
5-4 Mean, Variance, and Standard Deviation for
the Binomial Distribution 229
5-5 Poisson Probability Distributions 234
Chapter 6 Normal Probability Distributions 248
6-1 Review and Preview 250
6-2 The Standard Normal Distribution 251
6-3 Applications of Normal Distributions 264
6-4 Sampling Distributions and Estimators 276
6-5 The Central Limit Theorem 287
6-6 Normal as Approximation to Binomial 299
6-7 Assessing Normality 309
Chapter 7 Estimates and Sample Sizes 326
7-1 Review and Preview 328
7-2 Estimating a Population Proportion 328
7-3 Estimating a Population Mean: Known 345
7-4 Estimating a Population Mean: Not Known 355
7-5 Estimating a Population Variance 370
Chapter 8 Hypothesis Testing 390
8-1 Review and Preview 392
8-2 Basics of Hypothesis Testing 393
8-3 Testing a Claim About a Proportion 412
8-4 Testing a Claim About a Mean: Known 425
8-5 Testing a Claim About a Mean: Not Known 432
8-6 Testing a Claim About a Standard Deviation or Variance 443
Chapter 9 Inferences from Two Samples 460
9-1 Review and Preview 462
9-2 Inferences About Two Proportions 462
9-3 Inferences About Two Means: Independent Samples 473
9-4 Inferences from Dependent Samples 487
9-5 Comparing Variation in Two Samples 497
Chapter 10 Correlation and Regression 516
10-1 Review and Preview 518
10-2 Correlation 518
10-3 Regression 536
10-4 Variation and Prediction Intervals 551
10-5 Multiple Regression 560
10-6 Modeling 570
Chapter 11 Goodness-of-Fit and Contingency Tables 584
11-1 Review and Preview 586
11-2 Goodness-of-Fit 586
11-3 Contingency Tables 598
11-4 McNemar’s Test for Matched Pairs 611
Chapter 12 Analysis of Variance 626
12-1 Review and Preview 628
12-2 One-Way ANOVA 628
12-3 Two-Way ANOVA 642
Chapter 13 Nonparametric Statistics 660
13-1 Review and Preview 662
13-2 Sign Test 663
13-3 Wilcoxon Signed-Ranks Test for Matched Pairs 674
13-4 Wilcoxon Ranked-Sum Test for Two Independent Samples 680
13-5 Kruskal-Wallis Test 686
13-6 Rank Correlation 691
13-7 Runs Test for Randomness 699
California Data Applications Supplement 715
Appendices 753
Appendix A: Tables 754
Appendix B: Data Sets 775
Appendix C: Bibliography of Books and Web Sites 804
Appendix D: Answers to Odd-Numbered Section Exercises, plus Answers to All End-of-Chapter Statistical Literacy and Critical Thinking Exercises, Chapter Quick Quizzes, Review Exercises, and Cumulative Review Exercises 805
Credits 851
Index 853
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