9780805839609-0805839607-Statistical Concepts: A Second Course for Education and the Behavioral Sciences

Statistical Concepts: A Second Course for Education and the Behavioral Sciences

ISBN-13: 9780805839609
ISBN-10: 0805839607
Edition: 2
Author: Richard G. Lomax
Publication date: 2000
Publisher: Psychology Press
Format: Paperback 40 pages
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Book details

ISBN-13: 9780805839609
ISBN-10: 0805839607
Edition: 2
Author: Richard G. Lomax
Publication date: 2000
Publisher: Psychology Press
Format: Paperback 40 pages

Summary

Statistical Concepts: A Second Course for Education and the Behavioral Sciences (ISBN-13: 9780805839609 and ISBN-10: 0805839607), written by authors Richard G. Lomax, was published by Psychology Press in 2000. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Statistical Concepts: A Second Course for Education and the Behavioral Sciences (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.34.

Description

Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and choose topics. It features topics not traditionally found in other textbooks, such as the layout of the data in ANOVA models, the ANOVA linear models, expected mean squares in ANOVA models, and stepwise regression. The book features a thorough and current discussion of assumptions, the effects of their violations, and how to deal with their violation. This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.
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