|
|
2 | (22) |
|
|
4 | (1) |
|
|
4 | (6) |
|
1-3 Design of Experiments |
|
|
10 | (14) |
|
2 Describing, Exploring, and Comparing Data |
|
|
24 | (66) |
|
|
26 | (1) |
|
2-2 Frequency Distributions |
|
|
27 | (6) |
|
|
33 | (9) |
|
|
42 | (11) |
|
2-5 Measures of Variation |
|
|
53 | (16) |
|
2-6 Measures of Relative Standing |
|
|
69 | (7) |
|
2-7 Exploratory Data Analysis (EDA) |
|
|
76 | (14) |
|
|
90 | (66) |
|
|
92 | (1) |
|
|
92 | (9) |
|
|
101 | (8) |
|
3-4 Multiplication Rule: Basics |
|
|
109 | (9) |
|
3-5 Multiplication Rule: Beyond the Basics |
|
|
118 | (9) |
|
|
127 | (9) |
|
3-7 Rates of Mortality, Fertility, and Morbidity |
|
|
136 | (5) |
|
|
141 | (15) |
|
4 Discrete Probability Distributions |
|
|
156 | (34) |
|
|
158 | (1) |
|
|
159 | (9) |
|
4-3 Binomial Probability Distributions |
|
|
168 | (10) |
|
4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution |
|
|
178 | (4) |
|
4-5 The Poisson Distribution |
|
|
182 | (8) |
|
5 Normal Probability Distributions |
|
|
190 | (64) |
|
|
192 | (1) |
|
5-2 The Standard Normal Distribution |
|
|
193 | (11) |
|
5-3 Applications of Normal Distributions |
|
|
204 | (8) |
|
5-4 Sampling Distributions and Estimators |
|
|
212 | (9) |
|
5-5 The Central Limit Theorem |
|
|
221 | (10) |
|
5-6 Normal as Approximation to Binomial |
|
|
231 | (10) |
|
|
241 | (13) |
|
6 Estimates and Sample Sizes with One Sample |
|
|
254 | (60) |
|
|
256 | (1) |
|
6-2 Estimating a Population Proportion |
|
|
256 | (17) |
|
6-3 Estimating a Population Mean: σ Known |
|
|
273 | (11) |
|
6-4 Estimating a Population Mean: σ Not Known |
|
|
284 | (13) |
|
6-5 Estimating a Population Variance |
|
|
297 | (17) |
|
7 Hypothesis Testing with One Sample |
|
|
314 | (62) |
|
|
316 | (1) |
|
7-2 Basics of Hypothesis Testing |
|
|
317 | (20) |
|
7-3 Testing a Claim About a Proportion |
|
|
337 | (11) |
|
7-4 Testing a Claim About a Mean: σ Known |
|
|
348 | (5) |
|
7-5 Testing a Claim About a Mean: σ Not Known |
|
|
353 | (11) |
|
7-6 Testing a Claim About a Standard Deviation or Variance |
|
|
364 | (12) |
|
8 Inferences from Two Samples |
|
|
376 | (48) |
|
|
378 | (1) |
|
8-2 Inferences About Two Proportions |
|
|
378 | (11) |
|
8-3 Inferences About Two Means: Independent Samples |
|
|
389 | (11) |
|
8-4 Inferences from Matched Pairs |
|
|
400 | (8) |
|
|
408 | (6) |
|
8-6 Comparing Variation in Two Samples |
|
|
414 | (10) |
|
9 Correlation and Regression |
|
|
424 | (64) |
|
|
428 | (1) |
|
|
428 | (21) |
|
|
449 | (15) |
|
9-4 Variation and Prediction Intervals |
|
|
464 | (8) |
|
|
472 | (16) |
|
10 Multinomial Experiments and Contingency Tables |
|
|
488 | (42) |
|
|
490 | (1) |
|
10-2 Multinomial Experiments: Goodness-of-Fit |
|
|
491 | (13) |
|
10-3 Contingency Tables: Independence and Homogeneity |
|
|
504 | (15) |
|
10-4 McNemar's Test for Matched Pairs |
|
|
519 | (11) |
|
|
530 | (36) |
|
|
532 | (2) |
|
|
534 | (16) |
|
|
550 | (16) |
|
12 Nonparametric Statistics |
|
|
566 | (44) |
|
|
568 | (2) |
|
|
570 | (10) |
|
12-3 Wilcoxon Signed-Ranks Test for Matched Pairs |
|
|
580 | (5) |
|
12-4 Wilcoxon Rank-Sum Test for Two Independent Samples |
|
|
585 | (6) |
|
|
591 | (6) |
|
|
597 | (13) |
|
|
610 | (18) |
|
|
612 | (1) |
|
13-2 Elements of a Life Table |
|
|
612 | (8) |
|
13-3 Applications of Life Tables |
|
|
620 | (8) |
Appendix A Tables |
|
628 | (17) |
Appendix B Data Sets |
|
645 | (15) |
Appendix C Answers to Odd-Numbered Exercises |
|
660 | (27) |
Credits |
|
687 | (2) |
Index |
|
689 | |