| Preface to the Instructor |
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xi | |
| Preface to the Student |
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xviii | |
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xxx | |
| Photo and Illustration Credits |
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xxxv | |
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2 | (48) |
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Introduction to the Practice of Statistics |
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4 | (8) |
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Observational Studies; Simple Random Sampling |
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12 | (10) |
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22 | (8) |
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Sources of Error in Sampling |
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30 | (5) |
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The Design of Experiments |
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35 | (15) |
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43 | (3) |
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Case Study: Chrysalises for Cash |
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46 | (2) |
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Decisions: What Movie Should I Go To? |
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48 | (1) |
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49 | (1) |
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Organizing and Summarizing Data |
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50 | (60) |
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Organizing Qualitative Data |
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52 | (15) |
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Organizing Quantitative Data I |
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67 | (18) |
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Organizing Quantitative Data II |
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85 | (7) |
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Graphical Misrepresentations of Data |
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92 | (18) |
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98 | (8) |
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Case Study: The Day the Sky Roared |
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106 | (2) |
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Decisions: Tables or Graphs? |
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108 | (1) |
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109 | (1) |
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Numerically Summarizing Data |
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110 | (80) |
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Measures of Central Tendency |
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112 | (19) |
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131 | (19) |
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Measures of Central Tendency and Dispersion from Grouped Data |
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150 | (7) |
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157 | (11) |
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The Five-Number Summary; Boxplots |
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168 | (22) |
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177 | (9) |
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Case Study: Who Was ``A Mourner''? |
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186 | (2) |
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Decisions: What Car Should I Buy? |
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188 | (1) |
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189 | (1) |
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Describing the Relation between Two Variables |
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190 | (68) |
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Scatter Diagrams; Correlation |
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192 | (15) |
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207 | (14) |
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Diagnostics on the Least-Squares Regression Line |
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221 | (15) |
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Nonlinear Regression: Transformations |
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236 | (22) |
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248 | (6) |
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Case Study: The Mystery of Global Temperature Change |
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254 | (2) |
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Decisions: What Car Should I Buy? |
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256 | (1) |
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257 | (1) |
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258 | (66) |
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Probability of Simple Events |
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260 | (15) |
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The Addition Rule; Complements |
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275 | (10) |
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285 | (11) |
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296 | (5) |
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301 | (23) |
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315 | (5) |
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Case Study: The Case of the Body in the Bag |
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320 | (2) |
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Decisions: Sports Probabilities |
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322 | (1) |
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323 | (1) |
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Discrete Probability Distributions |
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324 | (54) |
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Probability Distributions |
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326 | (13) |
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The Binomial Probability Distribution |
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339 | (19) |
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The Poisson Probability Distribution |
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358 | (20) |
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369 | (5) |
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Case Study: The Voyage of the St. Andrew |
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374 | (2) |
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Decisions: Should We Convict? |
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376 | (1) |
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377 | (1) |
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The Normal Probability Distribution |
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378 | (76) |
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Properties of the Normal Distribution |
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380 | (12) |
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The Standard Normal Distribution |
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392 | (14) |
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Applications of the Normal Distribution |
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406 | (9) |
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415 | (7) |
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Sampling Distributions; The Central Limit Theorem |
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422 | (15) |
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The Normal Approximation to the Binomial Probability Distribution |
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437 | (17) |
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444 | (6) |
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Case Study: A Tale of Blood Chemistry and Health |
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450 | (2) |
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452 | (1) |
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453 | (1) |
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Confidence Intervals about a Single Parameter |
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454 | (62) |
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Confidence Intervals about a Population Mean, σ Known |
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456 | (19) |
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Confidence Intervals about a Population Mean, σ Unknown |
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475 | (15) |
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Confidence Intervals about a Population Proportion |
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490 | (8) |
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Confidence Intervals about a Population Standard Deviation |
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498 | (18) |
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505 | (7) |
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Case Study: The Search for a Fire-Safe Cigarette |
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512 | (2) |
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Decisions: What's Your Major? |
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514 | (1) |
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515 | (1) |
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516 | (76) |
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The Language of Hypothesis Testing |
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518 | (9) |
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Testing a Hypothesis about μ, σ Known |
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527 | (19) |
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Testing a Hypothesis about μ, σ Unknown |
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546 | (12) |
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Testing a Hypothesis about a Population Proportion |
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558 | (10) |
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Testing a Hypothesis about σ |
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568 | (7) |
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The Probability of a Type II Error; the Power of the Test |
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575 | (17) |
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581 | (7) |
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Case Study: Dating Stonehenge |
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588 | (2) |
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Decisions: What Does It Really Weigh? |
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590 | (1) |
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591 | (1) |
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Inferences on Two Samples |
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592 | (62) |
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Inference about Two Means: Dependent Samples |
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594 | (13) |
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Inference about Two Means: Independent Samples |
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607 | (12) |
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Inference about Two Population Proportions |
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619 | (12) |
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Inference about Two Population Standard Deviations |
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631 | (23) |
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644 | (6) |
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Case Study: Control in the Design of an Experiment |
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650 | (2) |
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Decisions: Where Should I Invest? |
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652 | (1) |
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653 | (1) |
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654 | (50) |
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Chi-Square Goodness of Fit Test |
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656 | (11) |
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Contingency Tables; Association |
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667 | (10) |
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Chi-Square Test for Independence; Homogeneity of Proportions |
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677 | (27) |
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694 | (6) |
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Case Study: Feeling Lucky? Well, Are You? |
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700 | (2) |
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Decisions: Benefits of College |
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702 | (1) |
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703 | (1) |
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Inference on the Least-Squares Regression Model; ANOVA |
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704 | (52) |
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Inference about the Least-Squares Regression Model |
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706 | (17) |
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Confidence and Prediction Intervals |
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723 | (6) |
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One-Way Analysis of Variance |
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729 | (27) |
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745 | (7) |
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Case Study: Craniometry: Hat Size and Intelligence |
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752 | (2) |
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754 | (1) |
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755 | (1) |
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756 | |
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An Overview of Nonparametric Statistics |
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758 | (2) |
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760 | (8) |
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Inferences about Measures of Central Tendency |
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768 | (8) |
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Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples |
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776 | (10) |
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Inferences about the Difference between Two Measures of Central Tendency: Independent Samples |
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786 | (12) |
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Spearman's Rank-Correlation Test |
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798 | (7) |
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Kruskal--Wallis Test of One-Way Analysis of Variance |
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805 | |
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813 | (7) |
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Case Study: Evaluating Alabama's 1891 House Bill 504 |
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820 | (2) |
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Decisions: Where Should I Live? |
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822 | (1) |
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823 | |
| Appendix A Tables |
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1 | (20) |
| Appendix B Lines |
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21 | |
| Answers |
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1 | (1) |
| Index |
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1 | |
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