Statistics Using SPSS An Integrative Approach

Name: Statistics Using SPSS An Integrative Approach
Price: 211.45 USD
Availability: InStock
ISBN: 9780521676373

ISBN-10: 0521676371

ISBN-13: 9780521676373

Edition: 2nd 2008 (Revised)

Authors: Sharon Lawner Weinberg, Sarah Knapp Abramowitz

List price: $74.99

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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…

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: 3.322
Language: English

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