Statistical methods for the social sciences
著者
書誌事項
Statistical methods for the social sciences
Pearson, c2024
6th global ed
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注記
Previous ed.: 2018
Includes bibliographical references (p. 585-586) and index
内容説明・目次
内容説明
For courses in Statistical Methods for the Social Sciences .
Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces 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. The 6th Edition gives 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.
目次
Introduction
Sampling and Measurement
Descriptive Statistics
Probability Distributions
Statistical Inference: Estimation
Statistical Inference: Significance Tests
Comparison of Two Groups
Analyzing Association between Categorical Variables
Linear Regression and Correlation
Introduction to Multivariate Relationships
Multiple Regression and Correlation
Model Building with Multiple Regression
Logistic Regression: Modeling Categorical Responses
An Introduction to Advanced Methodology
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