Practice your way to a higher statistics score
The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct content reviews for every topic, with plenty of examples and practice problems for each concept, in the book and online.
Every lesson begins with a concept review, followed by a few example problems and plenty of practice problems. There's a step-by-step solution for every problem, with tips and tricks to help with comprehension and retention. New for this edition, free online practice quizzes for each chapter provide extra opportunities to test your knowledge and understanding.
Get FREE access to chapter quizzes in an online test bankWork along with each chapter or use the test bank for final exam reviewDiscover which statistical measures are most meaningful
Scoring high in your Statistics class has never been easier!
Introduction 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: Thet-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
