Statistics
A Tool for the Social Sciences
PWS (Publisher)
5th Edition
Published on 1. August 1996
Book
Hardback
576 pages
978-0-534-92931-2 (ISBN)
Description
Aimed at undergraduate students taking course in statistics for sociology and the social sciences, this work assumes only high school algebra. This edition features a more applied social science perspective, especially with regard to multivariate analysis and the interpretation of results.
Aimed at undergraduate students taking course in statistics for sociology and the social sciences, this work assumes only high school algebra. This edition features a more applied social science perspective, especially with regard to multivariate analysis and the interpretation of results.
Aimed at undergraduate students taking course in statistics for sociology and the social sciences, this work assumes only high school algebra. This edition features a more applied social science perspective, especially with regard to multivariate analysis and the interpretation of results.
More details
Edition
5th Revised edition
Language
English
Place of publication
London
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Edition type
Revised edition
Illustrations
index
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1100 gr
ISBN-13
978-0-534-92931-2 (9780534929312)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Author
Clemson University, USA
Clemson University, USA
University of Florida, USA
Content
What is statistics? Measurement. Graphical techniques for describing data from a single variable. Numerical techniques for describing data from a single sample. Probability, inferences, and sampling distributions in the social sciences. Estimation and statistical tests of hypotheses: two samples. Statistical tests of hypotheses: the one-sample case. Estimation and statistical tests of hypotheses: two samples. Cross-classification of data. Measure of association: nominal and ordinal data. Contingency analysis: multivariate extensions. Bivariate regression and correlation. Regression and correlation: multivariate extensions. Differences among more than two population means.