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Basic Statistics for the Behavioral and Social Sciences Using R

Basic Statistics for the Behavioral and Social Sciences Using R

ISBN 9780190620189
Publication Date
Purchase Type Buy New
Publisher Oxford University Press USA
Author(s)
Overview
Students in the behavioral and social sciences frequently need to take introductory courses in statistics. Ideal for said courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by featuring subjects such as bootstrapping and an introduction to R. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources (such as links to Khan Academy® videos, datasets to practise skills taught in the book, and linkages to R and RStudio) and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-have for all professors and students endeavoring to learn basic statistics.
Overview
Students in the behavioral and social sciences frequently need to take introductory courses in statistics. Ideal for said courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by featuring subjects such as bootstrapping and an introduction to R. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources (such as links to Khan Academy® videos, datasets to practise skills taught in the book, and linkages to R and RStudio) and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-have for all professors and students endeavoring to learn basic statistics.
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