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

By: Contributor(s): Material type: TextTextLanguage: English Series: Always learningPublication details: Boston : Pearson, 2013.Edition: 6th edDescription: xvi, 728 p. : ill. ; 27 cmISBN:
  • 9780205258154
  • 0205258158
DDC classification:
  • 150.727 23 ARO
Contents:
Displaying the order in a group of numbers using tables and graphs -- Central tendency and variability -- Some key ingredients and 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.
Summary: Emphasizing meaning and concepts, not just symbols and numbers. Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. Learning goals upon completing this book, readers should be able to know both definitional and numerical formulas and how to apply them. Understand the logic behind each formula. Expose students to the latest thinking in statistical theory and application. Prepare students to read research articles and learn how to use SPSS.
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Reference Books Reference Books CUTN Central Library Reference Reference 150.727 ARO (Browse shelf(Opens below)) Not For Loan 37682

Displaying the order in a group of numbers using tables and graphs --
Central tendency and variability --
Some key ingredients and 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.

Emphasizing meaning and concepts, not just symbols and numbers. Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. Learning goals upon completing this book, readers should be able to know both definitional and numerical formulas and how to apply them. Understand the logic behind each formula. Expose students to the latest thinking in statistical theory and application. Prepare students to read research articles and learn how to use SPSS.

Includes bibliographical references (p. 714-721) and index.

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