Description

Statistical Methods,¬†Third Edition¬†provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples and data exercises organized by level of difficulty. This text requires that a student be familiar with algebra.

New to this edition:

NEW expansion of exercises applying different techniques and methods
NEW examples and datasets using current real-world data
New text organization to create a more natural connection between regression and the Analysis of the Variance
NEW material on generalized linear models
NEW expansion of nonparametric techniques
NEW student research projects
NEW case studies for gathering, summarizing, and analyzing data

Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications

Accessibile to students who may not have a background in probability or calculus
Offers reader-friendly exposition, without sacrificing statistical rigor
Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics