Part I: Getting Off to a Statistically Significant Start.

Chapter 1: Summarizing Categorical Data: Counts and Percents.

Chapter 2: Organizing Categorical Data: Charts and Graphs.

Chapter 3: Organizing Quantitative Data: Charts and Graphs.

Chapter 4: Summarizing Quantitative Data: Means, Medians, and More.

Part II: Probability, the Normal Distribution, and the Central Limit Theorem (Are You Having Fun Yet?).

Chapter 5: Understanding Probability Basics.

Chapter 6: Measures of Relative Standing and the Normal Distribution.

Chapter 7: Demystifying Sampling Distributions and the Central Limit Theorem.

Part III: Guesstimating with Confidence.

Chapter 8: Making Sense of Margin of Error.

Chapter 9: Calculating Confidence Intervals.

Chapter 10: Deciphering Your Confidence Interval.

Part IV: Putting a Claim to the (Hypothesis) Test.

Chapter 11: Testing Hypotheses.

Chapter 12: Taking the Guesswork Out of p-Values and Type I and II Errors.

Part V: Getting the Inside Scoop on Statistical Studies.

Chapter 13: Examining Polls and Surveys.

Chapter 14: Evaluating Experiments.

Part VI: Exploring and Describing Relationships between

Two Variables.

Chapter 15: Looking for Links in Categorical Data: Two-Way Tables.

Chapter 16: Searching for Links in Quantitative Data: Correlation and Regression.

Part VII: The Part of Tens.

Chapter 17: Math Review: Ten Steps to a Better Grade.3

Chapter 18: Top Ten Statistical Formulas.

Chapter 19: Ten Ways to Spot Common Statistical Mistakes.3

Index.