U Can: Statistics for Dummies

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Deborah J. Rumsey
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Make studying statistics simple with this easy-to-read resource
Wouldn't it be wonderful if studying statistics were easier? With U Can: Statistics I For Dummies, it is! This one-stop resource combines lessons, practical examples, study questions, and online practice problems to provide you with the ultimate guide to help you score higher in your statistics course. Foundational statistics skills are a must for students of many disciplines, and leveraging study materials such as this one to supplement your statistics course can be a life-saver. Because U Can: Statistics I For Dummies contains both the lessons you need to learn and the practice problems you need to put the concepts into action, you'll breeze through your scheduled study time.

Statistics is all about collecting and interpreting data, and is applicable in a wide range of subject areas--which translates into its popularity among students studying in diverse programs. So, if you feel a bit unsure in class, rest assured that there is an easy way to help you grasp the nuances of statistics!
* Understand statistical ideas, techniques, formulas, and calculations
* Interpret and critique graphs and charts, determine probability, and work with confidence intervals
* Critique and analyze data from polls and experiments
* Combine learning and applying your new knowledge with practical examples, practice problems, and expanded online resources

U Can: Statistics I For Dummies contains everything you need to score higher in your fundamental statistics course!
Introduction 1

Part I 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

Part II Number?]Crunching Basics 47

chapter 4: Crunching Categorical Data 49

chapter 5: Means, Medians, and More 61

chapter 6: Getting the Picture: Graphing Categorical Data 93

chapter 7: Going by the Numbers: Graphing Numerical Data 117

Part III Distributions and the Central Limit Theorem 159

chapter 8: Coming to Terms with Probability 161

chapter 9: Random Variables and the Binomial Distribution 187

chapter 10: The Normal Distribution 205

chapter 11: The t?]Distribution 233

chapter 12: Sampling Distributions and the Central Limit Theorem 243

Part IV Guesstimating and Hypothesizing with Confidence 263

chapter 13: Leaving Room for a Margin of Error 265

chapter 14: Confidence Intervals: Making Your Best Guesstimate 281

chapter 15: Claims, Tests, and Conclusions 313

chapter 16: Commonly Used Hypothesis Tests: Formulas and Examples 331

Part V Statistical Studies and the Hunt for a Meaningful Relationship 355

chapter 17: Polls, Polls, and More Polls 357

chapter 18: Experiments: Medical Breakthroughs or Misleading Results? 377

chapter 19: Looking for Links: Correlation and Regression 397

chapter 20: Two?]Way Tables and Independence 425

Part VI The Part of Tens 457

chapter 21: Ten Tips for the Statistically Savvy Sleuth 459

chapter 22: Ten Surefire Exam Score Boosters 469

Appendix 481

Index 491

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