| Preface to the Instructor |
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xi | |
| Student Resources |
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xxi | |
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xxiii | |
| Photo Credits |
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xxix | |
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Part I: Getting the Information You Need |
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1 | (58) |
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2 | (57) |
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Introduction to the Practice of Statistics |
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3 | (10) |
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Observational Studies, Experiments, and Simple Random Sampling |
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13 | (10) |
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Other Effective Sampling Methods |
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23 | (10) |
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Sources of Error in Sampling |
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33 | (7) |
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The Design of Experiments |
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40 | (19) |
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52 | (4) |
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Case Study: Chrysalises for Cash |
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56 | (3) |
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Part II: Descriptive Statistics |
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59 | (190) |
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Organizing and Summarizing Data |
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60 | (60) |
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Organizing Qualitative Data |
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61 | (16) |
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Organizing Quantitative Data: The Popular Displays |
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77 | (20) |
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Additional Displays of Quantitative Data |
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97 | (7) |
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Graphical Misrepresentations of Data |
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104 | (16) |
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110 | (8) |
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Case Study: The Day the Sky Roared |
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118 | (2) |
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Numerically Summarizing Data |
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120 | (74) |
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Measures of Central Tendency |
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121 | (16) |
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137 | (20) |
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Measures of Central Tendency and Dispersion from Grouped Data |
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157 | (8) |
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165 | (10) |
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The Five-Number Summary and Boxplots |
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175 | (19) |
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184 | (7) |
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Case Study: Who Was `A Mourner'? |
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191 | (3) |
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Describing the Relation between Two Variables |
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194 | (55) |
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Scatter Diagrams and Correlation |
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195 | (17) |
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212 | (14) |
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Diagnostics on the Least-Squares Regression Line |
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226 | |
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Nonlinear Regression: Transformations (On CD) |
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1 | (248) |
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241 | (6) |
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Case Study: Thomas Malthus, Population, and Subsistence |
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247 | (2) |
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Part III: Probability and Probability Distributions |
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249 | (166) |
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250 | (64) |
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251 | (15) |
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The Addition Rule and Complements |
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266 | (11) |
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Independence and the Multiplication Rule |
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277 | (6) |
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Conditional Probability and the General Multiplication Rule |
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283 | (10) |
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293 | |
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1 | (313) |
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307 | (5) |
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Case Study: The Case of the Body in the Bag |
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312 | (2) |
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Discrete Probability Distributions |
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314 | (44) |
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Discrete Random Variables |
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315 | (13) |
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The Binomial Probability Distribution |
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328 | (17) |
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The Poisson Probability Distribution |
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345 | |
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The Hypergeometric Probability Distribution (ON CD) |
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1 | (357) |
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352 | (4) |
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Case Study: The Voyage of the St. Andrew |
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356 | (2) |
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The Normal Probability Distribution |
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358 | (57) |
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Properties of the Normal Distribution |
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359 | (12) |
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The Standard Normal Distribution |
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371 | (14) |
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Applications of the Normal Distribution |
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385 | (9) |
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394 | (8) |
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The Normal Approximation to the Binomial Probability Distribution |
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402 | (13) |
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407 | (5) |
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Case Study: A Tale of Blood, Chemistry, and Health |
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412 | (3) |
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Part IV: Inference: From Samples to Population |
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415 | |
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416 | (30) |
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Distribution of the Sample Mean |
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417 | (17) |
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Distribution of the Sample Proportion |
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434 | (12) |
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442 | (2) |
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Case Study: Sampling Distribution of the Median |
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444 | (2) |
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Estimating the Value of a Parameter Using Confidence Intervals |
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446 | (58) |
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The Logic in Constructing Confidence Intervals about a Population Mean Where the Population Standard Deviation is Known |
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447 | (19) |
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Confidence Intervals about a Population Mean in Practice Where the Population Standard Deviation is Unknown |
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466 | (12) |
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Confidence Intervals about a Population Proportion |
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478 | (8) |
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Confidence Intervals about a Population Standard Deviation |
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486 | (7) |
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Putting It All Together: Which Method Do I Use? |
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493 | (11) |
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497 | (5) |
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Case Study: The Search for a Fire-Safe Cigarette |
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502 | (2) |
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Testing Claims Regarding a Parameter |
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504 | (70) |
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The Language of Hypothesis Testing |
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505 | (8) |
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Testing Claims about a Population Mean Assuming the Population Standard Deviation Is Known |
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513 | (18) |
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Testing Claims about a Population Mean in Practice |
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531 | (13) |
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Testing Claims about a Population Proportion |
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544 | (9) |
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Testing Claims about a Population Standard Deviation |
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553 | (5) |
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Putting It All Together: Which Method Do I Use? |
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558 | (3) |
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The Probability of a Type II Error and the Power of the Test |
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561 | (13) |
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567 | (4) |
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Case Study: How Old Is Stonehenge? |
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571 | (3) |
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574 | (56) |
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Inference about Two Means: Dependent Samples |
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575 | (13) |
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Inference about Two Means: Independent Samples |
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588 | (13) |
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Inference about Two Population Proportions |
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601 | (11) |
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Inference about Two Population Standard Deviations |
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612 | (18) |
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623 | (5) |
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Case Study: Control in the Design of an Experiment |
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628 | (2) |
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Inference on Categorical Data |
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630 | (46) |
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631 | (10) |
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Contingency Tables and Association |
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641 | (10) |
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Tests for Independence and the Homogeneity of Proportions |
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651 | (25) |
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668 | (6) |
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Case Study: Feeling Lucky? Well, Are You? |
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674 | (2) |
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Comparing Three or More Means |
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676 | (60) |
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Comparing Three or More Means (One-Way Analysis of Variance) |
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677 | (14) |
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Post-Hoc Tests on One-Way Analysis of Variance |
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691 | (10) |
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The Randomized Complete Block Design |
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701 | (10) |
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Two-Way Analysis of Variance |
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711 | (25) |
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728 | (6) |
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Case Study: Hat Size and Intelligence |
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734 | (2) |
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Inference on the Least-Squares Regression Model and Multiple Regression |
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736 | |
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Testing the Significance of the Least-Squares Regression Model |
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737 | (16) |
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Confidence and Prediction Intervals |
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753 | (5) |
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758 | |
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783 | (5) |
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788 | |
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An Overview of Nonparametric Statistics |
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Inferences about Measures of Central Tendency |
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Inferences about the Difference between Two Medians: Dependent Samples |
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Inferences about the Difference between Two Medians: Independent Samples |
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Spearman's Rank-Correlation Test |
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Case Study: Evaluating Alabama's 1891 House Bill 504 |
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| Appendix A Tables |
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1 | (1) |
| Appendix B Lines (On CD) |
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1 | (1) |
| Answers |
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1 | (1) |
| Index |
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1 | |
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