Statistics for Psychology, Global Edition, 7th edition

Published by Pearson (September 13, 2024) © 2024

  • Arthur Aron State University of New York at Stony Brook
  • Elaine N. Aron State University of New York at Stony Brook
  • Elliot J. Coups Robert Wood Johnson Medical School, Rutgers State University of New Jersey
  • Erin Cooley Colgate University

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Title 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.

Table of contents

  1. Displaying the Order in a Group of Numbers Using Tables and Graphs
  2. Central Tendency and Variability
  3. Some Key Ingredients for Inferential Statistics
  4. Introduction to Hypothesis Testing
  5. Hypothesis Tests with Means of Samples
  6. Making Sense of Statistical Significance
  7. Introduction to t Tests
  8. The t Test for Independent Means
  9. Introduction to the Analysis of Variance
  10. Factorial Analysis of Variance
  11. Correlation
  12. Prediction
  13. Chi-Square Tests
  14. Strategies When Population Distributions Are Not Normal
  15. The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles
  16. Tables
  17. Steps of Hypothesis Testing for Major Procedures
  18. Formulas
  19. Answers to Set 1 Practice Problems

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