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Informationen zum Autor Deborah Rumsey, PhD, is a Professor of Statistics and Statistics Education Specialist at The Ohio State University. She is the author of Statistics For Dummies, Statistics Workbook For Dummies, Statistics II For Dummies, and Probability For Dummies. Klappentext The odds-on best way to master stats.Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you'll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more. Written by an expert author and serious statistics nerd, Statistics AIO For Dummies explains everything in terms anyone can understand.* Get a grasp of basic statistics concepts required in every statistics course* Clear up the process of interpreting graphs, understanding polls, and analyzing data* Master correlation, regression, and other data analysis tools* Score higher on stats tests and get a better grade in your high school or college classStatistics All-in-One For Dummies follows the curriculum of intro college statistics courses (including AP Stats!) so you can learn everything you need to know to get the grade you need--the Dummies way. Zusammenfassung The odds-on best way to master stats.Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you'll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more. Written by an expert author and serious statistics nerd, Statistics AIO For Dummies explains everything in terms anyone can understand.* Get a grasp of basic statistics concepts required in every statistics course* Clear up the process of interpreting graphs, understanding polls, and analyzing data* Master correlation, regression, and other data analysis tools* Score higher on stats tests and get a better grade in your high school or college classStatistics All-in-One For Dummies follows the curriculum of intro college statistics courses (including AP Stats!) so you can learn everything you need to know to get the grade you need--the Dummies way. Inhaltsverzeichnis Introduction 1Unit 1: Getting Started with Statistics 5Chapter 1: The Statistics of Everyday Life 7Chapter 2: Taking Control: So Many Numbers, So Little Time 15Chapter 3: Tools of the Trade 25Unit 2: Number-Crunching Basics 47Chapter 4: Crunching Categorical Data 49Chapter 5: Means, Medians, and More 65Chapter 6: Getting the Picture: Graphing Categorical Data 99Chapter 7: Going by the Numbers: Graphing Numerical Data 125Unit 3: Distributions and the Central Limit Theorem 167Chapter 8: Coming to Terms with Probability 169Chapter 9: Random Variables and the Binomial Distribution 199Chapter 10: The Normal Distribution 219Chapter 11: The t-Distribution 251Chapter 12: Sampling Distributions and the Central Limit Theorem 263Unit 4: Guesstimating and Hypothesizing with Confidence 285Chapter 13: Leaving Room for a Margin of Error 287Chapter 14: Confidence Intervals: Making Your Best Guesstimate 305Chapter 15: Claims, Tests, and Conclusions 341Chapter 16: Commonly Used Hypothesis Tests: Formulas and Examples 361Unit 5: Statistical Studies and the Hunt for a Meaningful Relationship 389Chapter 17: Polls, Polls, and More Polls 391Chapter 18: Experiments and Observational Studies: Medical Breakthroughs or Misleading Results? 413Chapter 19: Looking for Links: Correlation and...
Inhaltsverzeichnis
Introduction 1
Unit 1: Getting Started with Statistics 5
Chapter 1: The Statistics of Everyday Life 7
Chapter 2: Taking Control: So Many Numbers, So Little Time 15
Chapter 3: Tools of the Trade 25
Unit 2: Number-Crunching Basics 47
Chapter 4: Crunching Categorical Data 49
Chapter 5: Means, Medians, and More 65
Chapter 6: Getting the Picture: Graphing Categorical Data 99
Chapter 7: Going by the Numbers: Graphing Numerical Data 125
Unit 3: Distributions and the Central Limit Theorem 167
Chapter 8: Coming to Terms with Probability 169
Chapter 9: Random Variables and the Binomial Distribution 199
Chapter 10: The Normal Distribution 219
Chapter 11: The t-Distribution 251
Chapter 12: Sampling Distributions and the Central Limit Theorem 263
Unit 4: Guesstimating and Hypothesizing with Confidence 285
Chapter 13: Leaving Room for a Margin of Error 287
Chapter 14: Confidence Intervals: Making Your Best Guesstimate 305
Chapter 15: Claims, Tests, and Conclusions 341
Chapter 16: Commonly Used Hypothesis Tests: Formulas and Examples 361
Unit 5: Statistical Studies and the Hunt for a Meaningful Relationship 389
Chapter 17: Polls, Polls, and More Polls 391
Chapter 18: Experiments and Observational Studies: Medical Breakthroughs or Misleading Results? 413
Chapter 19: Looking for Links: Correlation and Regression 435
Chapter 20: Two-Way Tables and Independence 467
Appendix : Tables for Reference 503
Index 513
