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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 no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition 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 reliance on an overly simplistic recipe-based approach to statistics. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Statistical Methods for the Social Sciences, Global Edition

• Title Page


• Copyright Page


• Dedication


• Contents


• Preface


• Acknowledgments


• Global Edition Acknowledgments


• 1 Introduction


• 1.1 Introduction to Statistical Methodology


• 1.2 Descriptive Statistics and Inferential Statistics


• 1.3 The Role of Computers and Software in Statistics


• 1.4 Chapter Summary


• 2 Sampling and Measurement


• 2.1 Variables and Their Measurement


• 2.2 Randomization


• 2.3 Sampling Variability and Potential Bias


• 2.4 Other Probability Sampling Methods*


• 2.5 Chapter Summary


• 3 Descriptive Statistics


• 3.1 Describing Data with Tables and Graphs


• 3.2 Describing the Center of the Data


• 3.3 Describing Variability of the Data


• 3.4 Measures of Position


• 3.5 Bivariate Descriptive Statistics


• 3.6 Sample Statistics and Population Parameters


• 3.7 Chapter Summary


• 4 Probability Distributions


• 4.1 Introduction to Probability


• 4.2 Probability Distributions for Discrete and Continuous Variables


• 4.3 The Normal Probability Distribution


• 4.4 Sampling Distributions Describe How Statistics Vary


• 4.5 Sampling Distributions of Sample Means


• 4.6 Review: Population, Sample Data, and Sampling Distributions


• 4.7 Chapter Summary


• 5 Statistical Inference: Estimation


• 5.1 Point and Interval Estimation


• 5.2 Confidence Interval for a Proportion


• 5.3 Confidence Interval for a Mean


• 5.4 Choice of Sample Size


• 5.5 Estimation Methods: Maximum Likelihood and the Bootstrap*


• 5.6 Chapter Summary


• 6 Statistical Inference: Significance Tests


• 6.1 The Five Parts of a Significance Test


• 6.2 Significance Test for a Mean


• 6.3 Sign