U Can: Statistics For Dummies
John Wiley & Sons Inc (Verlag)
978-1-119-08485-3 (ISBN)
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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!
Deborah J. Rumsey, PhD, is a professor of statistics and the director of the Mathematics and Statistics Learning Center at the Ohio State University. David Unger is a faculty member in the Department of Statistics at the University of Illinois at Urbana-Champaign.
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
| Verlagsort | New York |
|---|---|
| Sprache | englisch |
| Maße | 203 x 253 mm |
| Gewicht | 712 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| ISBN-10 | 1-119-08485-7 / 1119084857 |
| ISBN-13 | 978-1-119-08485-3 / 9781119084853 |
| Zustand | Neuware |
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