"Statistical Methods, 3/e" 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 interpreting 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. The following are 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; and, New case studies for gathering, summarizing, and analyzing data. Supplements include: New companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS; Student Solutions Manual - to come; Instructor Manual - to come; and, Sample chapter. This title integrates the classical conceptual approach with modern day computerized data manipulation and computer applications. It accessible to students who may not have a background in probability or calculus. It offers reader-friendly exposition, without sacrificing statistical rigor. It includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics.