Statistics Using SPSS An Integrative Approach

ISBN-10: 0521676371

ISBN-13: 9780521676373

Edition: 2nd 2008 (Revised)

List price: $74.99 Buy it from $3.00
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Description:

This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice. Step-by-step instructions for using SPSS are provided as each new analytic procedure is introduced. A data CD is included with the text so that students may conduct their own statistical analyses and learn firsthand how statistics is used in practice.
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Book details

List price: $74.99
Edition: 2nd
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 1/28/2008
Binding: Paperback
Pages: 768
Size: 8.00" wide x 10.00" long x 1.25" tall
Weight: 3.652

Sharon L. Weinberg is Professor of Quantitative Methods and Psychology and former Vice Provost for Faculty Affairs at New York University. She is widely published, with over 50 publications in her field, including books, book chapters, journal articles, and major reports. She is the recipient of numerous grants and author with Kenneth P. Goldberg of Statistics for the Behavioral Sciences (Cambridge, 1990).

Sarah Knapp Abramowitz is Assistant Professor of Mathematics and Computer Science at Drew University. She received her Ph.D. from New York University and is an Associate Editor of the Journal of Statistics Education.

Introduction
Examining univariate distributions
Measures of location, spread, and skewness
Re-expressing variables
Exploring relationships between two variables
Simple linear regression
Probability fundamentals
Theoretical probability models
The role of sampling in inferential statistics
Inferences involving the mean of a single population when o is known
Inferences involving the mean when o is not known: one and two sample designs
One-way analysis of variance
Two-way analysis of variance
Correlation and simple regression as inferential techniques
An introduction to multiple regression
Nonparametric methods
Data set descriptions
SPSS macro to generate a sampling distribution of means
Statistical tables
References
Solutions to exercises
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