Statistics using SPSS : an integrative approach / Sharon L. Weinberg, Sarah Knapp Abramowitz.

By: Weinberg, Sharon L
Contributor(s): Abramowitz, Sarah Knapp, 1967-
Publisher: New York: Cambridge University Press, 2008Edition: 2nd edDescription: xv, 764 p. : ill. ; 26 cm. + 1 CD-ROM (4 3/4 in.)Content type: text Media type: unmediated Carrier type: volumeISBN: 9780521899222 (hardcover); 9780521676373 (pbk.); 0521676371 (pbk.)Subject(s): SPSS (Computer file) | Mathematical statistics -- Data processingDDC classification: 519.50285 LOC classification: QA276 | .W4423 2008Online resources: Contributor biographical information | Publisher description | Table of contents only
Contents:
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 s is known -- Inferences involving the mean when s 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.
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519.50285 W43 2008 (Browse shelf) Available CITU-CL-39958
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Includes bibliographical references and index.

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 s is known -- Inferences involving the mean when s 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.

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