Stephens, Larry J. Advanced Statistics Demystified: A Self-teaching Guide

# Advanced Statistics Demystified: A Self-teaching Guide

## Stephens, Larry J.

A self-teaching guide to the complex topic of advanced statistics

Coverage 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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From the Back Cover:

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!

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.

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Book Description McGraw-Hill Professional, 2004. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface Introduction: A Review of Inferences Based on a Single Sample Chapter 1: Inferences Based on Two Samples Chapter 2: Analysis of Variance: Comparing More Than Two Means Chapter 3: Simple Linear Regression and Correlation Chapter 4: Multiple Regression Chapter 5: Nonparametric Statistics Chapter 6: Chi-Squared Tests Final Exams and Their Answers Solutions to Chapter Exercises Bibliography Index. Bookseller Inventory # ABE_book_new_0071432426

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