Overview
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
Author comments
Larry J. Stephens is a professor of mathematics at the University of Nebraska at Omaha. He has over 25 years of experience teaching mathematics and statistics. He has taught at the University of Arizona, Gonzaga University, and Oklahoma State University, and has worked for NASA, Livermore Laboratory, and Los Alamos National Laboratory. Dr. Stephens is the author of Schaum's Outline of Beginning Statistics and the co-author of Schaum's Outline of Statistics, both published by McGraw-Hill. He currently teaches courses in statistical methodology, mathematical statistics, algebra, and trigonometry.
Back cover copy
TAKE THE "MEAN" OUT OF ADVANCED STATISTICS
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!
