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 | |
Numerical Summaries of Quantitative Variables | |
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 | |
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