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| 編輯推薦： |
＂...it would certainly help many students, particularly those
on service courses, to grasp the concepts and see the wider
picture.＂ MSOR Newsletter, September 2007
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| 內容簡介： |
The fun and easy way to get down to business with statistics
Stymied by statistics? No fear ? this friendly guide offers
clear, practical explanations of statistical ideas, techniques,
formulas, and calculations, with lots of examples that show you how
these concepts apply to your everyday life.
Statistics For Dummies shows you how to interpret and critique
graphs and charts, determine the odds with probability, guesstimate
with confidence using confidence intervals, set up and carry out a
hypothesis test, compute statistical formulas, and more.
Tracks to a typical first semester statistics course
Updated examples resonate with today''s students
Explanations mirror teaching methods and classroom
protocol
Packed with practical advice and real-world problems,
Statistics For Dummies gives you everything you need to analyze and
interpret data for improved classroom or on-the-job
performance.
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| 關於作者： |
Deborah J. Rumsey, PhD, is a professor of statistics and the
director of the Mathematics and Statistics Learning Center at The
Ohio State University. She is the author of Statistics Workbook For
Dummies, Statistics II For Dummies, and Probability For
Dummies.
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| 目錄：
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Introduction.
Part I: Vital Statistics about Statistics.
Chapter 1: Statistics in a Nutshell.
Chapter 2: The Statistics of Everyday Life.
Chapter 3: Taking Control: So Many Numbers, So Little Time.
Chapter 4: Tools of the Trade.
Part II: Number-Crunching Basics.
Chapter 5: Means, Medians, and More.
Chapter 6: Getting the Picture: Graphing Categorical Data.
Chapter 7: Going by the Numbers: Graphing Numerical Data.
Part III: Distributions and the Central Limit Theorem.
Chapter 8: Random Variables and the Binomial Distribution.
Chapter 9: The Normal Distribution.
Chapter 10: The t-Distribution.
Chapter 11: Sampling Distributions and the Central Limit
Theorem.
Part IV: Guesstimating and Hypothesizing with Confidence.
Chapter 12: Leaving Room for a Margin of Error.
Chapter 13: Confi dence Intervals: Making Your Best
Guesstimate.
Chapter 14: Claims, Tests, and Conclusions.
Chapter 15: Commonly Used Hypothesis Tests: Formulas and
Examples.
Part V: Statistical Studies and the Hunt for a Meaningful
Relationship.
Chapter 16: Polls, Polls, and More Polls.
Chapter 17: Experiments: Medical Breakthroughs or Misleading
Results?
Chapter 18: Looking for Links: Correlation and Regression.
Chapter 19: Two-Way Tables and Independence.
Part VI: The Part of Tens.
Chapter 20: Ten Tips for the Statistically Savvy Sleuth.
Chapter 21: Ten Surefi re Exam Score Boosters.
Appendix: Tables for Reference.
Index.
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