Deborah J. Rumsey, PhD is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored Statistics For Dummies, Statistics II For Dummies, and Probability For Dummies.

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

Deborah J. Rumsey, PhD is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored Statistics For Dummies, Statistics II For Dummies, and Probability For Dummies.

Select Guide Rating

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

Deborah J. Rumsey, PhD is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored Statistics For Dummies, Statistics II For Dummies, and Probability For Dummies.

Select Guide Rating

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