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Keep Smiling

Statistics for the behavioral sciences / Frederick J Gravetter, Larry B. Wallnau.

By: Contributor(s): Material type: TextTextPublication details: Belmont, CA : Wadsworth/Thomson Learning, 2003.Edition: 6th edDescription: xv, 746 p. ill. (some col.) ; 27 cmISBN:
  • 0534602460 (student ed.)
  • 9780534602468
Subject(s): DDC classification:
  • 519.50243 G7769
Contents:
a. Introduction and descriptive statistics: Introduction to statistic; Frequency distributions; Central tendency; Variability ; 2. Foundations of inferential statistics: z-Scores, location of scores and standardized distributions; Probability; Probability and samples, the distribution of sample means ; 3. Inferences about means and mean differences: Introduction to hypothesis testing; Introduction to the t statistic; The t test for two independent samples; The t test for two related samples; Estimation; Introduction to analysis of variance; Repeated-measures analyusis of variance (ANOVA); Two-factor analysis of variance (independent measures) ; 4. Correlations and nonparametric tests: Correlation and regression; Chi-square statistic, tests for goodness of fit and independence; Binomial test; Statistical techniques for ordianl data, Mann-Whitney, Wilcoxon, and Kruskal-Wallis tests ; 5. Appendixes: Basic mathematics review; Statistical tables; Solutions for odd-numbered problems.
List(s) this item appears in: Mathematics
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Item type Current library Call number Status Date due Barcode
Books Books UE-Central Library 519.50243 G7769 (Browse shelf(Opens below)) Available T3125

Includes bibliographical references (p. 737-738) and index.

a. Introduction and descriptive statistics: Introduction to statistic; Frequency distributions; Central tendency; Variability ;
2. Foundations of inferential statistics: z-Scores, location of scores and standardized distributions; Probability; Probability and samples, the distribution of sample means ;
3. Inferences about means and mean differences: Introduction to hypothesis testing; Introduction to the t statistic; The t test for two independent samples; The t test for two related samples; Estimation; Introduction to analysis of variance; Repeated-measures analyusis of variance (ANOVA); Two-factor analysis of variance (independent measures) ;
4. Correlations and nonparametric tests: Correlation and regression; Chi-square statistic, tests for goodness of fit and independence; Binomial test; Statistical techniques for ordianl data, Mann-Whitney, Wilcoxon, and Kruskal-Wallis tests ;
5. Appendixes: Basic mathematics review; Statistical tables; Solutions for odd-numbered problems.

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