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| (Note: Each chapter begins with Where You've Been and Where You're Going sections and concludes with Uses and Abuses, Chapter Summary, Review Exercises, Chapter Quiz, Real Statistics-Real Decisions Putting it all Together, and Technology sections.) | |
| Introduction to Statistics | |
| An Overview of Statistics | |
| Data Classification | |
| Case Study: Rating Television Shows in the United States | |
| Experimental Design | ... MORE |
| Descriptive Statistics | |
| Frequency Distributions and Their Graphs | |
| More Graphs and Displays | |
| Measures of Central Tendency | |
| Measures of Variation | |
| Case Study: Earnings of Athletes | |
| Measures of Position | |
| Probability | |
| Basic Concepts of Probability | |
| Conditional Probability and the Multiplication Rule | |
| The Addition Rule | |
| Case Study: Probability and Parking Lot Strategies | |
| Additional Topics in Probability and Counting | |
| Discrete Probability Distributions | |
| Probability Distributions | |
| Binomial Distributions | |
| Case Study: Binomial Distribution of Airplane Accidents | |
| More Discrete Probability Distributions | |
| Normal Probability Distributions | |
| Introduction to Normal Distributions and the Standard Normal Distribution | |
| Normal Distributions: Finding Probabilities | |
| Normal Distributions: Finding Values.Case Study: Birth Weights in America | |
| Sampling Distributions and The Central Limit Theorem | |
| Normal Approximations to Binomial Distributions | |
| Confidence Intervals | |
| Confidence Intervals for the Mean (Large Samples) | |
| Case Study: Shoulder Heights of Appalachian Black Bears | |
| Confidence Intervals for the Mean (Small Samples) | |
| Confidence Intervals for Population Proportions | |
| Confidence Intervals for Variance and Standard Deviation | |
| Hypothesis Testing with One Sample | |
| Introduction to Hypothesis Testing | |
| Hypothesis Testing for the Mean (Large Samples) | |
| Case Study: Human Body Temperature: What's Normal? Hypothesis Testing for the Mean (Small Samples) | |
| Hypothesis Testing for Proportions | |
| Hypothesis Testing for the Variance and Standard Deviation | |
| Hypothesis Testing with Two Samples | |
| Testing the Difference Between Means (Large Independent Samples) | |
| Case Study: Oatbran and Cholesterol Level | |
| Testing the Difference Between Means (Small Independent Samples) | |
| Testing the Difference Between Means (Dependent Samples) | |
| Testing the Difference Between Proportions | |
| Correlation and Regression | |
| Correlation | |
| Linear Regression | |
| Case Study: Correlation of Body Measurements | |
| Measures of Regression and Prediction Intervals | |
| Multiple Regression | |
| Chi-Square Tests and the F-Distribution | |
| Goodness of Fit | |
| Independence | |
| Case Study: Traffic Safety Facts | |
| Comparing Two Variances | |
| Analysis of Variance | |
| Nonparametric Tests | |
| The Sign Test | |
| The Wilcoxon Tests | |
| Case Study: Health and Nutrition | |
| The Kruskal-Wallis Test | |
| Rank Correlation | |
| Runs Test | |
| Alternative Presentation of the Standard Normal Distribution | |
| Standard Normal Distribution Table (0-to-z) | |
| Alternate Presentation of the Standard Normal Distribution | |
| Tables | |
| Table of Contents provided by Publisher. All Rights Reserved. |