Description
Book SynopsisTable of ContentsIntroduction 1
Part 1: Getting Off to a Statistically Significant Start 5
Chapter 1: Summarizing Categorical Data: Counts and Percents 7
Chapter 2: Summarizing Quantitative Data: Means, Medians, and More 17
Chapter 3: Organizing Categorical Data: Charts and Graphs 27
Chapter 4: Organizing Quantitative Data: Charts and Graphs 43
Part 2: Probability, Distributions, and the Central Limit Theorem (Are You Having Fun Yet?) 73
Chapter 5: Understanding Probability Basics 75
Chapter 6: Measures of Relative Standing and the Normal Distribution 83
Chapter 7: The Binomial Distribution 105
Chapter 8: The t-Distribution 117
Chapter 9: Demystifying Sampling Distributions and the Central Limit Theorem 123
Part 3: Guesstimating and Hypothesizing with Confidence 137
Chapter 10: Making Sense of Margin of Error 139
Chapter 11: Calculating Confidence Intervals 151
Chapter 12: Deciphering Your Confidence Interval 169
Chapter 13: Testing Hypotheses 177
Chapter 14: Taking the Guesswork Out of p-Values and Type I and II Errors 197
Part 4: Statistical Studies and the Hunt for a Meaningful Relationship 211
Chapter 15: Examining Polls and Surveys 213
Chapter 16: Evaluating Experiments 223
Chapter 17: Looking for Links in Categorical Data: Two-Way Tables 233
Chapter 18: Searching for Links in Quantitative Data: Correlation and Regression 259
Part 5: The Part of Tens 277
Chapter 19: Math Review: Ten Steps to a Better Grade 279
Chapter 20: Top Ten Statistical Formulas 289
Chapter 21: Ten Ways to Spot Common Statistical Mistakes 301
Appendix: Tables for Reference 309
Index 319
