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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.
New to this edition include the following: 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 the following: New companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS; Student Solutions Manual; and, Instructor Manual.
This title integrates the classical conceptual approach with modern day computerized data manipulation and computer applications. It is 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, and Economics.
