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Book Categories |
Preface | ||
Acknowledgments | ||
Pt. I | Organization and description of data | |
1 | The organization of data | 2 |
2 | Describing distributions | 18 |
3 | Describing individuals in distributions | 78 |
4 | Describing joint distributions of data | 98 |
Pt. II | Probability | |
5 | Introduction to probability | 150 |
6 | Discrete probability distributions | 186 |
7 | Continuous probability distributions | 224 |
Pt. III | Introduction to statistical inference | |
8 | Sampling distributions and estimation | 274 |
9 | Hypothesis testing | 326 |
10 | Testing hypotheses about population means | 380 |
11 | Testing hypotheses about population variances | 454 |
12 | Testing hypotheses about many population means [mu[subscript 1]], [mu[subscript 1]]...[mu[subscript j]]: introduction to analysis of variance | 482 |
Pt. IV | Hypothesis testing: intermediate techniques | |
13 | More complex analyses of variance | 538 |
14 | Testing hypotheses about covariance: correlation and regression | 570 |
15 | Testing hypotheses about entire distributions: Pearson's chi-square | 616 |
App. I. The algebra of summations | 682 | |
App. II. Linear interpolation | 686 | |
App. III. Regression coefficients | 688 | |
App. IV. Scales of measurement | 692 | |
App. V. The algebra of expectations | 696 | |
App. VI. Fundamentals of research design | 704 | |
App. VII. Sums of squares | 708 | |
App. VIII. Tables | 716 | |
App. IX. Solutions to odd-numbered exercises | 746 | |
Index | 840 |
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