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Statistics Workbook For Dummies with Online Practice
Deborah J. Rumsey (Author)
9781119547518, Wiley
Paperback / softback, published 31 May 2019
336 pages
25.2 x 20.3 x 2 cm, 0.544 kg
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. 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: 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
Subject Areas: Mathematics [PB]
