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.
|About the author|
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.
|Table of contents|
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