MyLab Statistics with Pearson eText Access Code (18 Weeks) for Interactive Statistics

<div class="c-un-numbered-headers-and-contents-list__container"> <h3>I: GETTING THE INFORMATION YOU NEED</h3> <ol> <li><strong>Data Collection</strong> <ul> <li>1.1 Introduction to the Practice of Statistics</li> <li>1.2 Observational Studies versus Designed Experiments</li> <li>1.3 Simple Random Sampling</li> <li>1.4 Other Effective Sampling Methods</li> <li>1.5 Bias in Sampling</li> <li>1.6 The Design of Experiments</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: What College Should I Attend? </li> <li>Case Study: Chrysalises for Cash</li> </ul></li> </ol> <h3>II: DESCRIPTIVE STATISTICS</h3> <ol start="2"> <li><strong>Organizing and Summarizing Data</strong> <ul> <li>2.1 Organizing Qualitative Data</li> <li>2.2 Organizing Quantitative Data: The Popular Displays</li> <li>2.3 Additional Displays of Quantitative Data</li> <li>2.4 Graphical Misrepresentations of Data</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Tables or Graphs? </li> <li>Case Study: The Day the Sky Roared</li> </ul></li> <li><strong>Numerically Summarizing Data</strong> <ul> <li>3.1 Measures of Central Tendency</li> <li>3.2 Measures of Dispersion</li> <li>3.3 Measures of Central Tendency and Dispersion from Grouped Data</li> <li>3.4 Measures of Position</li> <li>3.5 The Five-Number Summary and Boxplots</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: What Car Should I Buy? </li> <li>Case Study: Who Was “A Mourner”? </li> </ul></li> <li><strong>Describing the Relation Between Two Variables</strong> <ul> <li>4.1 Scatter Diagrams and Correlation</li> <li>4.2 Least-Squares Regression</li> <li>4.3 Diagnostics on the Least-Squares Regression Line</li> <li>4.4 Contingency Tables and Association</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Relationships Among Variables on a World Scale</li> <li>Case Study: Thomas Malthus, Population, and Subsistence</li> </ul></li> </ol> <h3>III: PROBABILITY AND PROBABILITY DISTRIBUTIONS</h3> <ol start="5"> <li><strong>Probability</strong> <ul> <li>5.1 Probability Rules</li> <li>5.2 The Addition Rule and Complements</li> <li>5.3 Independence and the Multiplication Rule</li> <li>5.4 Conditional Probability and the General Multiplication Rule</li> <li>5.5 Counting Techniques</li> <li>5.6 Simulation</li> <li>5.7 Putting It Together: Which Method Do I Use?</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: What Are the Effects of Drinking and Driving?</li> <li>Case Study: The Case of the Body in the Bag</li> </ul></li> <li><strong>Discrete Probability Distributions</strong> <ul> <li>6.1 Discrete Random Variables</li> <li>6.2 The Binomial Probability Distribution</li> <li>6.3 The Poisson Probability Distribution</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Should We Convict?</li> <li>Case Study: The Voyage of the St. Andrew</li> </ul></li> <li><strong>The Normal Probability Distribution</strong> <ul> <li>7.1 Properties of the Normal Distribution</li> <li>7.2 Applications of the Normal Distribution</li> <li>7.3 Assessing Normality</li> <li>7.4 The Normal Approximation to the Binomial Probability Distribution</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: What Stock Do I Pick? </li> <li>Case Study: A Tale of Blood, Chemistry, and Health</li> </ul></li> </ol> <h3>IV: INFERENCE – FROM SAMPLES TO POPULATION</h3> <ol start="8"> <li><strong>Sampling Distributions</strong> <ul> <li>8.1 Distribution of the Sample Mean</li> <li>8.2 Distribution of the Sample Proportion</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: How Would You Break Down Your Day? </li> <li>Case Study: Sampling Distribution of the Median</li> </ul></li> <li><strong>Estimating the Value of a Parameter Using Confidence Intervals</strong> <ul> <li>9.1 Estimating a Population Proportion</li> <li>9.2 Estimating a Population Mean </li> <li>9.3 Putting It Together: Which Procedure Do I Use?</li> <li>9.4 Estimating with Bootstrapping</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: How Much Should I Spend for this House? </li> <li>Case Study: When Model Requirements Fail</li> </ul></li> <li><strong>Hypothesis Tests Regarding a Parameter</strong> <ul> <li>10.1 The Language of Hypothesis Testing</li> <li>10.2A Hypothesis Tests on a Population Proportion with Simulation</li> <li>10.2B Hypothesis Tests on a Population Proportion Using the Normal Model</li> <li>10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean</li> <li>10.3B Hypothesis Tests for a Population Mean</li> <li>10.4 Putting It Together: Which Procedure Do I Use? </li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Selecting a Mutual Fund </li> <li>Case Study: How Old Is Stonehenge?</li> </ul></li> <li><strong>Inference on Two Samples</strong> <ul> <li>11.1A Using Randomization Techniques to Compare Two Proportions</li> <li>11.1 Inference about Two Population Proportions: Independent Samples</li> <li>11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means</li> <li>11.2 Inference about Two Population Means: Dependent Samples</li> <li>11.3A Using Randomization Techniques to Compare Two Independent Means</li> <li>11.3 Inference about Two Population Means: Independent Samples</li> <li>11.4 Putting It Together: Which Procedure Do I Use?</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Which Car Should I Buy?</li> <li>Case Study: Control in the Design of Experiment</li> </ul></li> <li><strong>Inference on Categorical Data</strong> <ul> <li>12.1 Goodness-of-Fit Test</li> <li>12.2 Tests for Independence and the Homogeneity of Proportions</li> <li>12.3 Inference about Two Population Proportions: Dependent Samples</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: What Are the Benefits of College?</li> <li>Case Study: Feeling Lucky? Well, Are You?</li> </ul></li> <li><strong>Comparing Three or More Means</strong> <ul> <li>13.1 Comparing Three or More Means: One-Way Analysis of Variance</li> <li>13.2 Post-Hoc Tests on One-Way Analysis of Variance</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Where Should I Invest?</li> <li>Case Study: Hat Size and Intelligence</li> </ul></li> <li><strong>Inference of the Least-Squares Regression Model </strong> <ul> <li>14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line</li> <li>14.1 Testing the Significance of the Least-Squares Regression Model</li> <li>14.2 Confidence and Prediction Intervals</li> </ul> <ul> <li>Chapter Review</li> <li>Chapter Test</li> <li>Making an Informed Decision: Buying a Home </li> <li>Case Study: Housing Boom</li> </ul></li> </ol> <h3>APPENDICES</h3> <ul> <li>A. Tables</li> <li>B. Lines</li> <li>C. Additional Topics <ul> <li>C.1 The Normal Approximation to the Binomial Probability Distribution</li> <li>C.2 Estimating a Population Standard Deviation</li> <li>C.3 Hypothesis Tests for a Population Standard Deviation</li> </ul></li> </ul> </div>