<p>For courses in Statistical Methods for the Social Sciences.</p><h3>Statistical methods applied to social sciences, with an emphasis on concepts</h3><p><cite><strong>Statistical Methods for the Social Sciences</strong></cite> introduces statistical methods to students majoring in social science disciplines. Emphasizing concepts and applications, it assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a 2-semester course.</p><p>The <strong>6th Edition</strong> uses 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 an overly simplistic, recipe-based approach to statistics.</p>

<div class="c-no-headers-number-list_container"><ol><li>Introduction</li><li>Sampling and Measurement</li><li>Descriptive Statistics</li><li>Probability Distributions</li><li>Statistical Inference: Estimation</li><li>Statistical Inference: Significance Tests</li><li>Comparison of Two Groups</li><li>Analyzing Association between Categorical Variables</li><li>Linear Regression and Correlation</li><li>Introduction to Multivariate Relationships</li><li>Multiple Regression and Correlation</li><li>Model Building with Multiple Regression</li><li>Logistic Regression: Modeling Categorical Responses</li><li>An Introduction to Advanced Methodology</li></ol></div>

<p class="p1">Ideal for social science majors, <cite><strong>Statistical Methods for the Social Sciences</strong></cite> applies statistical methods to the social sciences and makes methods more accessible with an emphasis on concepts. It highlights applications throughout, assuming no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a 2-semester course.</p><p class="p1">The <strong>6th Edition</strong> uses 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 while avoiding an overly simplistic, recipe-based approach to statistics.</p>

Alan Agresti

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