Ebook: Statistical methods for the social sciences
Author: Agresti Alan
- Tags: Sociology, Nonfiction, Textbooks, Academic, School, Science, Social Issues, Class, Grad School
- Year: 2017
- Publisher: Pearson
- City: Boston
- Edition: Fifth edition
- Language: English
- pdf
For courses in Statistical Methods for the Social Sciences .
Statistical methods applied to social sciences, made accessible to all through an emphasis on conceptsStatistical Methods for the Social Sciencesintroduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The5th Editiongives you examples and exercises with a variety of "real data." It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics-often a stumbling block for students-while avoiding reliance on an overly simplistic recipe-based approach to statistics.
Statistical methods applied to social sciences, made accessible to all through an emphasis on conceptsStatistical Methods for the Social Sciencesintroduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The5th Editiongives you examples and exercises with a variety of "real data." It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics-often a stumbling block for students-while avoiding reliance on an overly simplistic recipe-based approach to statistics.
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