Chapter 11 Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.). Brief Cases: Metal Production and Loyalty Program. 10.6 P-Values and Decisions: What to Tell about a Hypothesis Test. 10.4 The Reasoning of Hypothesis Testing.
Chapter 10 Testing Hypotheses about Proportions (Dow Jones Industrial Average). Brief Cases: Has Gold Lost Its Luster? and Forecasting Demand. Technology Help: Confidence Intervals for Proportions. 9.2 A Confidence Interval for a Proportion. 9.1 The Distribution of Sample Proportions. Chapter 9 Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story). Brief Cases: Market Survey Research and The GfK Roper Reports Worldwide Survey. Chapter 8 Surveys and Sampling (Roper Polls).
Brief Case: Price/Earnings and Stock Value. Technology Help: Probability Calculations and Plots. 7.5 The Normal Approximation for the Binomial. Chapter 7 The Normal and Other Continuous Distributions (The NYSE). Technology Help: Random Variables and Probability Models. 6.3 Properties of Expected Values and Variances. 6.2 Standard Deviation of a Random Variable. Chapter 6 Random Variables and Probability Models (Metropolitan Life Insurance Company). Technology Help: Generating Random Numbers. *5.9 Reversing the Conditioning: Bayes’ Rule. 5.5 Joint Probability and Contingency Tables. Chapter 5 Randomness and Probability (Credit Reports and the Fair Isaacs Corporation). Case Study I: Paralyzed Veterans of America. Brief Cases: Fuel Efficiency, Cost of Living, and Mutual Funds. Technology Help: Correlation and Regression. 4.10 Reality Check: Is the Regression Reasonable?. 4.2 Assigning Roles to Variables in Scatterplots. Chapter 4 Correlation and Linear Regression (). Brief Cases: Detecting the Housing Bubble and Socio-Economic Data on States. Technology Help: Displaying and Summarizing Quantitative Variables. Chapter 3 Displaying and Describing Quantitative Data (AIG). Technology Help: Displaying Categorical Data. 2.4 Segmented Bar Charts and Mosaic Plots. 2.3 Exploring Two Categorical Variables: Contingency Tables. Chapter 2 Displaying and Describing Categorical Data (Keen, Inc.). Chapter 1 Data and Decisions (E-Commerce).
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