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Statistical Analysis in the Social Sciences

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ISBN-10: 0534637833

ISBN-13: 9780534637835

Edition: 2004

Authors: McKee J. McClendon

List price: $321.95
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Statistical Analysis in the Social Sciences imbeds basic descriptive and inferential statistical concepts within a unified framework: the linear regression model. The regression model is used not only for conducting standard regression analyses but also for other statistical analyses that are ordinarily taught as separate and distinct techniques, such as correlation, difference of means, analysis of variance, and certain nonparametric tests. This extensive use of a single statistical model will increase students' depth of understanding and give them a sense of mastery and self-confidence that they might otherwise fail to achieve in their first statistics course.
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Book details

List price: $321.95
Copyright year: 2004
Publisher: Wadsworth
Publication date: 9/26/2003
Binding: Paperback
Pages: 360
Size: 7.25" wide x 9.00" long x 0.75" tall
Weight: 1.694
Language: English

Preface
Statistics and Social Science
Distributions of Variable Attributes
Central Tendency
Dispersion
Sampling Error
Inferences About the Mean
Associations
Bivariate Regression Analysis
Inferences About the Regression Slope
Multiple Regression
Nominal Independent Variables
Ordinal Dependent Variables
Nominal Dependent Variables
Appendices
Statistical Tables
Answers to Exercises
References
Index