Statistical methods for the social sciences
Author(s)
Bibliographic Information
Statistical methods for the social sciences
Prentice Hall, c1997
3rd ed
Available at / 26 libraries
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
For an introductory course in statistics for undergraduate or graduate students in departments of sociology, political science, and psychology, geography, anthropology, journalism, and speech.
Assuming no prior knowledge of statistics, these authors combine their varied backgrounds-one a statistician, the other a social scientist-to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises and make coverage more accessible throughout the text.
Table of Contents
1. Introduction.
2. Sampling and Measurement.
3. Descriptive Statistics.
4. Probability Distributions.
5. Statistical Inference: Estimation.
6. Statistical Inference: Significance Tests.
7. Comparison of Two Groups.
8. Analyzing Association Between Categorical Variables.
9. Linear Regression and Correlation.
10. Introduction to Multivariate Relationships.
11. Multiple Regression and Correlation.
12. Comparing Groups: Analysis of Variance Methods.
13. Combining Regression and ANOVA: Analysis of Covariance.
14. Model Building with Multiple Regression.
15. Logistic Regression: Modeling Categorical Responses.
16. Introduction to Advanced Topics.
Appendix: SAS and SPSS for Statistical Analyses.
Tables.
Answers to Selected Problems.
Index.
by "Nielsen BookData"
