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Statistical analysis "in focus": alternate guides for R, SAS, and Stata for Statistics for the behavioral sciences/by Gregory Privitera, Kristin Lee Sotak, and Yu Lei

By: Privitera, Gregory J [Author ].
Contributor(s): Sotak, Kristin Lee [Author ] | Yu Lei [Author ].
Publisher: New Delhi SAGE Publications India 2018Edition: Third.Description: xi, 265p.: Illustrations: 26cms.ISBN: 9781544305608.Subject(s): Social sciences -- Statistical methods -- Computer programsDDC classification: 300.15195 PRI Abstract: 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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Book Book Indian Institute of Management Visakhapatnam
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Non-fiction 300.15195 PRI (Browse shelf) Available 001314

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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