Full Description
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.
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
