Statistical Methods

Statistical Methods, 3e 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

Statistical Methods, 3e 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

Supplements:

• 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
• Sample chapter - http://www.elsevierdirect.com/product.jsp?isbn=9780123749703

• 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

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 that emphasizes 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. Students are required to be familiar with algebra. This updated edition includes new 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. 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 Statistical reasoning is an essential tool in the health sciences, business, economics, the social sciences, and the physical sciences. This text is designed for students at the undergraduate level in disciplines with an emphasis on quantitative skills, or for graduate students in non-mathematical disciplines in which statistics is an important research tool. By providing an overview of statistical methods using standard methods of analysis, the book equips readers with insight needed to recognize appropriate experimental designs, to implement correct analyses, and to arrive at practical conclusions after interpreting statistical results --Book Jacket