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Statistics for psychology / Arthur Aron, Elaine N. Aron, Elliot J. Coups.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2009.Edition: 5th edDescription: xviii, 726 p. : ill. ; 26 cmISBN:
  • 9780136010579
  • 0136010571
Subject(s): DDC classification:
  • 150.727 22 ARO
Online resources:
Contents:
Displaying the order in a group of numbers using tables and graphs -- Central tendency and variability -- Some key ingredients for inferential statistics : Z scores, the normal curve, sample versus population, and probability -- Introduction to hypothesis testing -- Hypothesis tests with means of samples -- Making sense of statistical significance : decision errors, effect size, and statistical power -- Introduction to T tests : single sample and dependent means -- The T test for independent means -- Introduction to the analysis of variance -- Factorial analysis of variance -- Correlation -- Prediction -- Chi-square tests -- Strategies when population distributions are not normal : data transformations and rank-order tests -- The general linear model and making sense of advanced statistical procedures in research articles.
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Item type Current library Shelving location Call number Status Date due Barcode
Books Books Main Library Open Shelves 150.727 ARO (Browse shelf(Opens below)) Available 2020-0364

Includes bibliographical references (p. 710-718) and index.

Displaying the order in a group of numbers using tables and graphs -- Central tendency and variability -- Some key ingredients for inferential statistics : Z scores, the normal curve, sample versus population, and probability -- Introduction to hypothesis testing -- Hypothesis tests with means of samples -- Making sense of statistical significance : decision errors, effect size, and statistical power -- Introduction to T tests : single sample and dependent means -- The T test for independent means -- Introduction to the analysis of variance -- Factorial analysis of variance -- Correlation -- Prediction -- Chi-square tests -- Strategies when population distributions are not normal : data transformations and rank-order tests -- The general linear model and making sense of advanced statistical procedures in research articles.

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