Advanced Statistics Demystified

Advanced Statistics Demystified

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A self-teaching guide to the complex topic of advanced statisticsCoverage includes: inferences based on two samples, analysis of variance comparing more than two means, simple linear regression and correlation, multiple regression, nonparametric statistics, and more.
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Product details

  • Paperback | 324 pages
  • 185 x 231 x 21mm | 563g
  • MCGRAW-HILL Professional
  • New York, NY, United States
  • English
  • 75 Illustrations, unspecified
  • 0071432426
  • 9780071432429
  • 1,057,090

Back cover copy


Now anyone who has mastered basic statistics can easily take the next step up. In "Advanced Statistics Demystified," experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics -- from inferential statistics, variance analysis, and parametric and nonparametric testing to simple linear regression, correlation, and multiple regression.

With "Advanced Statistics Demystified," you master the subject one simple step at a time -- at your own speed. This unique self-teaching guide offers exercises at the end of each chapter to pinpoint weaknesses and two 50-question "final exams" to reinforce the entire book.

If you want to build or refresh your understanding of advanced statistics, here's a fast and entertaining self-teaching course that's specially designed to reduce anxiety. Get ready to:
* Draw inferences by comparing means, percents, and variances from two different samples
* Compare more than two means with variance analysis
* Make accurate interpretations with simple linear regression and correlation
* Derive inferences, estimations, and predictions with multiple regression models
* Apply nonparametric tests when the assumptions for the parametric tests are not satisfied
* Take two "final exams" and grade them yourself!

Simple enough for beginners but challenging enough for advanced students, Advanced Statistics Demystified is your direct route to confident, sophisticated statistical analysis!
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Table of contents

PrefaceIntroduction: A Review of Inferences Based on a Single SampleChapter 1: Inferences Based on Two SamplesChapter 2: Analysis of Variance: Comparing More Than Two MeansChapter 3: Simple Linear Regression and CorrelationChapter 4: Multiple RegressionChapter 5: Nonparametric StatisticsChapter 6: Chi-Squared TestsFinal Exams and Their AnswersSolutions to Chapter ExercisesBibliographyIndex
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About Larry Stephens

Larry Stephens, Ph.D., (Omaha, NE) is Professor of Mathematics at the University of Nebraska and is also the author of several books.
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