MyLab Statistics with Pearson eText Access Code (24 Months) for Introductory Statistics, MyLab Revision

<div class="c-un-numbered-headers-and-contents-list__container"> <p>* Indicates optional material.</p> <p>** Indicates optional material on the WeissStats site.</p> <h3>PART I: INTRODUCTION</h3> <ul> <li><strong>1. The Nature of Statistics</strong> <ul> <li>Case Study: Top Films of All Time</li> <li>1.1 Statistics Basics</li> <li>1.2 Simple Random Sampling</li> <li>1.3 Other Sampling Designs*</li> <li>1.4 Experimental Designs*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> </ul> <h3>PART II: DESCRIPTIVE STATISTICS</h3> <ul> <li><strong>2. Organizing Data</strong> <ul> <li>Case Study: World's Richest People</li> <li>2.1 Variables and Data</li> <li>2.2 Organizing Qualitative Data</li> <li>2.3 Organizing Quantitative Data</li> <li>2.4 Distribution Shapes</li> <li>2.5 Misleading Graphs*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>3. Descriptive Measures</strong> <ul> <li>Case Study: The Beatles' Song Length</li> <li>3.1 Measures of Center</li> <li>3.2 Measures of Variation</li> <li>3.3 Chebyshev's Rule and the Empirical Rule*</li> <li>3.4 The Five-Number Summary; Boxplots</li> <li>3.5 Descriptive Measures for Populations; Use of Samples</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data</li> <li>Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> </ul> <h3>PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS</h3> <ul> <li><strong>4. Probability Concepts</strong> <ul> <li>Case Study: Texas Hold'em</li> <li>4.1 Probability Basics</li> <li>4.2 Events</li> <li>4.3 Some Rules of Probability</li> <li>4.4 Contingency Tables; Joint and Marginal Probabilities*</li> <li>4.5 Conditional Probability*</li> <li>4.6 The Multiplication Rule; Independence*</li> <li>4.7 Bayes's Rule*</li> <li>4.8 Counting Rules*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>5. Discrete Random Variables*</strong> <ul> <li>Case Study: Aces Wild on the Sixth at Oak Hill</li> <li>5.1 Discrete Random Variables and Probability Distributions*</li> <li>5.2 The Mean and Standard Deviation of a Discrete Random Variable*</li> <li>5.3 The Binomial Distribution*</li> <li>5.4 The Poisson Distribution*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>6. The Normal Distribution</strong> <ul> <li>Case Study: Chest Sizes of Scottish Militiamen</li> <li>6.1 Introducing Normally Distributed Variables</li> <li>6.2 Areas under the Standard Normal Curve</li> <li>6.3 Working with Normally Distributed Variables</li> <li>6.4 Assessing Normality; Normal Probability Plots</li> <li>6.5 Normal Approximation to the Binomial Distribution*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>7. The Sampling Distribution of the Sample Mean</strong> <ul> <li>Case Study: The Chesapeake and Ohio Freight Study</li> <li>7.1 Sampling Error; the Need for Sampling Distributions</li> <li>7.2 The Mean and Standard Deviation of the Sample Mean</li> <li>7.3 The Sampling Distribution of the Sample Mean</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> </ul> <h3>PART IV: INFERENTIAL STATISTICS</h3> <ul> <li><strong>8. Confidence Intervals for One Population Mean</strong> <ul> <li>Case Study: Bank Robberies: A Statistical Analysis</li> <li>8.1 Estimating a Population Mean</li> <li>8.2 Confidence Intervals for One Population Mean When σ Is Known</li> <li>8.3 Confidence Intervals for One Population Mean When σ Is Unknown</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>9. Hypothesis Tests for One Population Mean</strong> <ul> <li>Case Study: Gender and Sense of Direction</li> <li>9.1 The Nature of Hypothesis Testing</li> <li>9.2 Critical-Value Approach to Hypothesis Testing</li> <li>9.3 P-Value Approach to Hypothesis Testing</li> <li>9.4 Hypothesis Tests for One Population Mean When σ Is Known</li> <li>9.5 Hypothesis Tests for One Population Mean When σ Is Unknown</li> <li>9.6 The Wilcoxon Signed-Rank Test*</li> <li>9.7 Type II Error Probabilities; Power*</li> <li>9.8 Which Procedure Should Be Used?**</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>10. Inferences for Two Population Means</strong> <ul> <li>Case Study: Dexamethasone Therapy and IQ</li> <li>10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples</li> <li>10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal</li> <li>10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal</li> <li>10.4 The Mann - Whitney Test*</li> <li>10.5 Inferences for Two Population Means, Using Paired Samples</li> <li>10.6 The Paired Wilcoxon Signed-Rank Test*</li> <li>10.7 Which Procedure Should Be Used?**</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>11. Inferences for Population Standard Deviations*</strong> <ul> <li>Case Study: Speaker Woofer Driver Manufacturing</li> <li>11.1 Inferences for One Population Standard Deviation*</li> <li>11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>12. Inferences for Population Proportions</strong> <ul> <li>Case Study: Arrested Youths</li> <li>12.1 Confidence Intervals for One Population Proportion</li> <li>12.2 Hypothesis Tests for One Population Proportion</li> <li>12.3 Inferences for Two Population Proportions</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>13. Chi-Square Procedures</strong> <ul> <li>Case Study: Eye and Hair Color</li> <li>13.1 The Chi-Square Distribution</li> <li>13.2 Chi-Square Goodness-of-Fit Test</li> <li>13.3 Contingency Tables; Association</li> <li>13.4 Chi-Square Independence Test</li> <li>13.5 Chi-Square Homogeneity Test</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> </ul> <h3>PART V: REGRESSION, CORRELATION, AND ANOVA</h3> <ul> <li><strong>14. Descriptive Methods in Regression and Correlation</strong> <ul> <li>Case Study: Healthcare: Spending and Outcomes</li> <li>14.1 Linear Equations with One Independent Variable</li> <li>14.2 The Regression Equation</li> <li>14.3 The Coefficient of Determination</li> <li>14.4 Linear Correlation</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>15. Inferential Methods in Regression and Correlation</strong> <ul> <li>Case Study: Shoe Size and Height</li> <li>15.1 The Regression Model; Analysis of Residuals</li> <li>15.2 Inferences for the Slope of the Population Regression Line</li> <li>15.3 Estimation and Prediction</li> <li>15.4 Inferences in Correlation</li> <li>15.5 Testing for Normality**</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> <li><strong>16. Analysis of Variance (ANOVA)</strong> <ul> <li>Case Study: Self-Perception and Physical Activity</li> <li>16.1 The F-Distribution</li> <li>16.2 One-Way ANOVA: The Logic</li> <li>16.3 One-Way ANOVA: The Procedure</li> <li>16.4 Multiple Comparisons*</li> <li>16.5 The Kruskal - Wallis Test*</li> <li>Chapter in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Biography</li> </ul> </li> </ul> <h3>PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA** </h3> <ul> <li><strong>MODULE A: Multiple Regression Analysis</strong> <ul> <li>Case Study: Automobile Insurance Rates</li> <li>A.1 The Multiple Linear Regression Model</li> <li>A.2 Estimation of the Regression Parameters</li> <li>A.3 Inferences Concerning the Utility of the Regression Model</li> <li>A.4 Inferences Concerning the Utility of Particular Predictor Variables</li> <li>A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response</li> <li>A.6 Checking Model Assumptions and Residual Analysis</li> <li>Module in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Answers to Selected Exercises</li> <li>Index</li> </ul> </li> <li><strong>MODULE B: Model Building in Regression</strong> <ul> <li>Case Study: Automobile Insurance Rates Revisited</li> <li>B.1 Transformations to Remedy Model Violations</li> <li>B.2 Polynomial Regression Model</li> <li>B.3 Qualitative Predictor</li> <li>B.4 Multicollinearity</li> <li>B.5 Model Selection: Stepwise Regression</li> <li>B.6 Model Selection: All-Subsets Regression</li> <li>B.7 Pitfalls and Warnings</li> <li>Module in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> <li>Answers to Selected Exercises</li> <li>Index</li> </ul> </li> <li><strong>MODULE C: Design of Experiments and Analysis of Variance</strong> <ul> <li>Case Study: Dental Hygiene: Which Toothbrush?</li> <li>C.1 Factorial Designs</li> <li>C.2 Two-Way ANOVA: The Logic</li> <li>C.3 Two-Way ANOVA: The Procedure</li> <li>C.4 Two-Way ANOVA: Multiple Comparisons</li> <li>C.5 Randomized Block Designs</li> <li>C.6 Randomized Block ANOVA: The Logic</li> <li>C.7 Randomized Block ANOVA: The Procedure</li> <li>C.8 Randomized Block ANOVA: Multiple Comparisons</li> <li>C.9 Friedman's Nonparametric Test for the Randomized Block Design</li> <li>Module in Review</li> <li>Review Problems</li> <li>Focusing on Data Analysis</li> <li>Case Study Discussion</li> </ul> </li> </ul> <h4 class="h5">Answers to Selected Exercises</h4> <h4 class="h5">Index</h4> <h3>Appendices</h3> <ul> <li>A: Statistical Tables</li> <li>B: Answers to Selected Exercises</li> </ul> <h4 class="h5">Index</h4> <h4 class="h5">Photo Credits</h4> <p>* Indicates optional material.</p> <p>** Indicates optional material on the WeissStats site.</p> </div>