Statistical Methods for the Social Sciences
United States Edition
3rd Edition
Published on 3. April 1997
Book
Hardback
643 pages
978-0-13-526526-0 (ISBN)
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.
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.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 242 mm
Width: 184 mm
Thickness: 31 mm
Weight
1158 gr
ISBN-13
978-0-13-526526-0 (9780135265260)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
09/2012
4th Edition
Pearson
€176.77
Article exhausted; check for reprint
Previous edition
Alan Agresti | Barbara Finlay
Statistical Methods for the Social Sciences
Book
01/1986
2nd Edition
Macmillan USA
€40.99
Article exhausted; check for reprint
Content
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.
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.