2003 Hardcover New clean, tight, unmarked (Fine), Second Edition. This broad text provides a complete overview of most standard statistical methods, including multiple ...regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions.Read moreShow Less
Statistical Methods, 2nd Edition builds a foundation for readers to communicate effectively with professional statisticians and computer programmers who will likely perform much of the statistical analyses they will encounter in their careers. Freund &Wilson equip readers with the insight to recognize appropriate experimental designs, correct methods of analyses,
and to arrive at practical conclusions after interpreting statistical results.
"The reading matter and illustrations are engaging because the authors bring in many up-todate,
real-life examples." —Dr. E.D. McCune, Stephen F. Austin State University, Texas
Audience: Reference for researchers and practitioners in engineering, business, social sciences or agriculture.
An introductory text for undergraduate and graduate courses in statistics, for students in the liberal arts, business, and science with mathematical background limited to algebra and no exposure to statistics. Learning aids include exercises for computer and manual calculations, worked examples, and concept questions. This second edition adds material on the analysis of means and includes new application examples and exercises, and data sets available with an instructor's manual. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Preface; Data and Statistics; Probability and Sampling Distributions; Principles of Inference; Inferences on a Single Population; Inferences for Two Populations; Inferences for Two or More Means; Linear Regression; Multiple Regression; Factorial Experiments; Design of Experiments; Other Linear Models; Categorical data; Nonparametric Methods; Sampling and Sample Surveys; Appendix A; Appendix B - A Review of Matrices; References; Solutions to Selected Exercises; Index