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Statistics for the behavioral and social sciences: a brief course /

By: Contributor(s): Material type: TextPublication details: Upper Saddle River, N.J. : Pearson/Prentice Hall, c2005.Edition: 3rd edDescription: xxi, 466 p. : ill. ; 26 cmISBN:
  • 0131505084
Subject(s): DDC classification:
  • 300/.1/5195 21
LOC classification:
  • HA 29 .A74 2005
Contents:
Displaying the order in a group of numbers -- The mean, variance, standard deviation, and Z scores -- Correlation and prediction -- Some key ingredients for inferential statistics : the normal curve, probability, and population versus sample -- Introduction to hypothesis testing -- Hypothesis tests with means of samples -- Making sense of statistical significance : decision errors, effect size, and statistical power -- Introduction to the t test -- The t test for independent means -- Introduction to the analysis of variance -- Chi-square tests and strategies when population distributions are not normal -- Making sense of advanced statistical procedures in research articles.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Murang'a University of Technology Library General stacks HA 29 .A74 2005 (Browse shelf(Opens below)) Available 025628
Books Murang'a University of Technology Library General stacks HA 29 .A74 2005 (Browse shelf(Opens below)) Available 017290
Books Murang'a University of Technology Library General stacks HA 29 .A74 2005 (Browse shelf(Opens below)) Available 013499
Books MUT Mariira Campus Library General stacks HA 29 .A74 2005 (Browse shelf(Opens below)) Available 024406
Books MUT Mariira Campus Library General stacks HA 29 .A74 2005 (Browse shelf(Opens below)) Available 015794

Includes bibliographical references (p. [451]-455) and index.

Displaying the order in a group of numbers -- The mean, variance, standard deviation, and Z scores -- Correlation and prediction -- Some key ingredients for inferential statistics : the normal curve, probability, and population versus sample -- Introduction to hypothesis testing -- Hypothesis tests with means of samples -- Making sense of statistical significance : decision errors, effect size, and statistical power -- Introduction to the t test -- The t test for independent means -- Introduction to the analysis of variance -- Chi-square tests and strategies when population distributions are not normal -- Making sense of advanced statistical procedures in research articles.

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