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
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