I'm a studentI'm an educator

Statistics for Psychology, 7th edition

Published by Pearson (July 1, 2022) © 2023

  • 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
Products list
per month
-month term, pay monthly or pay
Buy nowOpens in a new tab
Instant access

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
Products list
$79.99
Rent nowOpens in a new tab

Details

  • A print text you can rent
  • Fulfilled by eCampus.com
  • Option to keep after rental expires
Products list
$104.99
Buy accessOpens in a new tab
14 day temporary access available

Access details

  • Pearson+ eTextbook with study tools
  • Instant access once purchased
  • Register with a Course ID, a link from your instructor or an LMS link (Blackboardâ„¢, Canvasâ„¢, Moodle or D2L®)

Features

  • Interactive digital learning experience
  • Help when and where you need it
  • Instant feedback on assignments
  • Apps and study tools

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.

  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

APPENDICES

  1. Tables
  2. Steps of Hypothesis Testing for Major Procedures
  3. Formulas
  4. Answers to Set 1 Practice Problems

WEB CHAPTERS (Downloadable at Student Resource Page)

  1. Overview of the Logic and Language of Psychology Research
  2. Applying Statistical Methods in Your Own Research Project
  3. Repeated Measures Analysis of Variance
  4. Integration and the General Linear Model

Need help? Get in touch