Overview

Statistics for Psychology emphasizes the logic behind statistics by placing definitional formulas center stage. For each procedure, the authors provide definitional formulas (in words) and computational formulas (in numbers and symbols). Emphasizing meaning and concepts rather than just symbols and numbers, this approach discourages rote memorization and helps you master the statistical analysis skills you need. Joining longtime authors Arthur and Elaine Aron, new co-author and prolific researcher Erin Cooley brings a fresh perspective to the 7th Edition. Her contributions include new examples focusing on social inequality, her area of expertise. Updates to the text's content, examples and coverage of controversies ensure an up-to-date learning experience.

Full Product Details

Author:   Arthur Aron ,  Elaine Aron ,  Elliot Coups ,  Erin Cooley, PhD
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   7th edition
ISBN:  

9781292737683

ISBN 10:   1292737689
Pages:   680
Publication Date:   28 March 2025
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Displaying the Order in a Group of Numbers Using Tables and Graphs Central Tendency and Variability Some Key Ingredients for Inferential Statistics Introduction to Hypothesis Testing Hypothesis Tests with Means of Samples Making Sense of Statistical Significance Introduction to t Tests 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 The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles APPENDICES Tables Steps of Hypothesis Testing for Major Procedures Formulas Answers to Set 1 Practice Problems WEB CHAPTERS (Downloadable at Student Resource Page) Overview of the Logic and Language of Psychology Research Applying Statistical Methods in Your Own Research Project Repeated Measures Analysis of Variance Integration and the General Linear Model

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