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Statistical Analysis "In Focus" : Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences - 3 Revised edition

By: (Author) Gregory J. Privitera , (Author) Kristin L. Sotak , (Author) Yu Lei

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Ksh 10,800.00

Format: Paperback / Softback

ISBN-10: 1544305605

ISBN-13: 9781544305608

Edition: 3 Revised edition

Publisher: SAGE Publications Inc

Imprint: SAGE Publications Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Jul 26th, 2018

Print length: 280 Pages

Weight: 576 grams

Dimensions (height x width x thickness): 20.80 x 25.60 x 1.60 cms

Product Classification: Experimental psychology

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Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the "In Focus" exercises in Privitera’s core text. A conversational writing style along with "To The Student" introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.

 

Statistical Analysis "In Focus": Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences, Third Edition supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the "In Focus" exercises in Privitera’s core text. Gregory J. Privitera, Kristin Lee Sotak, and Yu Lei’s conversational writing style along with "To The Student" introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.


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