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| Statistics Success Stories And Cautionary Tales | |
| What Is Statistics? | |
| Eight Statistical Stories with Morals | |
| The Common Elements in the Eight Stories | |
| Turning Data Into Information | |
| Raw Data | |
| Types of Variables | |
| Summarizing One or Two Categorical Variables | |
| Exploring Features of Quantitative Data with Pictures | |
| ... MORE | |
| How to Handle Outliers | |
| Bell-Shaped Distributions and Standard Deviations | |
| Skillbuilder Applet: The Empirical Rule in Action | |
| Relationships Between Quantitative Variables | |
| Looking for Patterns with Scatterplots | |
| Describing Linear Patterns with a Regression Line | |
| Measuring Strength and Direction with Correlation | |
| Regression and Correlation Difficulties and Disasters | |
| Correlation Does Not Prove Causation | |
| Skillbuilder Applet: Exploring Correlation | |
| Relationships Between Categorical Variables | |
| Displaying Relationships Between Categorical Variables | |
| Risk, Relative Risk, and Misleading Statistics About Risk | |
| The Effect of a Third Variable and Simpson's Paradox | |
| Assessing the Statistical Significance of a 2 x 2 Table | |
| Sampling: Surveys And How To Ask Questions | |
| Collecting and Using Sample Data Wisely | |
| Margin of Error, Confidence Intervals, and Sample Size | |
| Choosing a Simple Random Sample | |
| Other Sampling Methods | |
| Difficulties and Disasters in Sampling | |
| How to Ask Survey Questions | |
| Skillbuilder Applet: Random Sampling in Action | |
| Gathering Useful Data For Examining Relationships | |
| Speaking the Language of Research Studies | |
| Designing a Good Experiment | |
| Designing a Good Observational Study | |
| Difficulties and Disasters in Experiments and Observational Studies | |
| Probability | |
| Random Circumstances | |
| Interpretations of Probability | |
| Probability Definitions and Relationships | |
| Basic Rules for Finding Probabilities | |
| Finding Complicated Probabilities | |
| Using Simulation to Estimate Probabilities | |
| Flawed Intuitive Judgments About Probability | |
| Random Variables | |
| What Is a Random Variable? | |
| Discrete Random Variables | |
| Expectations for Random Variables | |
| Binomial Random Variables | |
| Continuous Random Variables | |
| Normal Random Variables | |
| Approximating Binomial Distribution Probabilities | |
| Sums, Differences, and Combinations of Random Variables | |
| Understanding Sampling Distributions: Statistics As Random Variables | |
| Parameters, Statistics, and Statistical Inference | |
| From Curiosity to Questions About Parameters | |
| An Overview of Sampling Distributions | |
| Sampling Distribution for One Sample Proportion | |
| Sampling Distribution for the Difference in Two Sample Proportions | |
| Sampling Distribution for One Sample Mean | |
| Sampling Distribution for the Sample Mean of Paired Differences | |
| Sampling Distribution for the Difference in Two Sample Means | |
| Preparing for Statistical Inference: Standardized Statistics | |
| Generalizations Beyond the Big Five | |
| Skillbuilder Applet: Finding the Pattern in Sample Means | |
| Estimating Proportions With Confidence | |
| An Overview of Confidence Intervals | |
| Confidence Interval for a Population Proportion | |
| Confidence Intervals for the Difference in Two Population Proportions | |
| Using Confidence Intervals to Guide Decisions | |
| Estimating Means With Confidence | |
| Introduction to Confidence Intervals for Means | |
| Confidence Interval for One Population Mean | |
| Confidence Interval for the Population Mean of Paired Differences | |
| Confidence Interval for the Difference in Two Population Means (Independent Samples) | |
| Understanding Any Confidence Interval | |
| Skillbuilder Applet: The Confidence Level in Action | |
| Testing Hypotheses About Proportions | |
| An Overview of Hypothesis Testing | |
| Testing Hypotheses About a Population Proportion | |
| Testing Hypotheses About the Difference in Two Population Proportions | |
| Sample Size, Statistical Significance, and Practical Importance | |
| Testing Hypotheses About Means | |
| Introduction to Hypothesis Tests for Means | |
| Testing Hypotheses about One Population Mean | |
| Testing Hypotheses about the Population Mean of Paired Differences | |
| Testing Hypotheses about the Difference in Two Population Means (Independent Samples) | |
| The Relationship Between Significance Tests and Confidence Intervals | |
| Choosing an Appropriate Inference Procedure | |
| Effect Size | |
| Evaluating Significance in Research Reports | |
| Inference About Simple Regression | |
| Sample and Population Regression Models | |
| Estimating the Standard Deviation for Regression | |
| Inference About the Slope of a Linear Regression | |
| Predicting y and Estimating Mean y at a Specific x | |
| Checking Conditions for Using Regression Models for Inference | |
| More About Inference For Categorical Variables | |
| The Chi-Square Test for Two-Way Tables | |
| Analyzing 2 x 2 Tables | |
| Testing Hypotheses About One Categorical Variable: Goodness-of-Fit | |
| Analysis Of Variance | |
| Comparing Means with an ANOVA F-TeSt. Details of One-Way Analysis of Variance | |
| Other Methods for Comparing Populations | |
| Two-Way Analysis of Variance | |
| Turning Information Into Wisdom | |
| Beyond the Data | |
| Transforming Uncertainty Into Wisdom | |
| Making Personal Decisions | |
| Control of Societal Risks | |
| Understanding Our World | |
| Getting to Know You | |
| Words to the Wise | |
| Table of Contents provided by Publisher. All Rights Reserved. |