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Applied Statistics for the Behavioral…
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Applied Statistics for the Behavioral Sciences (original 1979; edition 2002)

by Dennis E. Hinkle (Author)

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This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics.Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.… (more)
Member:kakrbl09
Title:Applied Statistics for the Behavioral Sciences
Authors:Dennis E. Hinkle (Author)
Info:Wadsworth Publishing (2002), Edition: 5, 784 pages
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Applied Statistics for the Behavioral Sciences by Dennis E. Hinkle (1979)

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Author nameRoleType of authorWork?Status
Dennis E. Hinkleprimary authorall editionscalculated
Jurs, Stephen G.Authormain authorall editionsconfirmed
Wiersma, WilliamAuthormain authorall editionsconfirmed
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This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics.Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.

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