Freund R., Mohr D., Wilson W.J. Statistical Methods

Academic Press, 2010. – 796 p. – 3rd ed. – ISBN: 0123749700, 9780123749703"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.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
Linear models
Factorial experiments
Design of experiments
Categorical data
Generalized linear models
Nonparametric methods