Statistics for the Behavioral and Social Sciences: A Brief Course
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This chapter discusses Chi-Square Tests and Strategies When Population Distributions Are Not Normal, and how to apply Statistical Methods in Your Own Research Project.
Abstract
Chapter 1 - Displaying the Order in a Group of Numbers Using Tables and Graphs Chapter 2 - The Mean, Variance, Standard Deviation, and Z Scores Chapter 3 - Correlation and Prediction Chapter 4 - Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample Versus Population, and Probability Chapter 5 - Introduction to Hypothesis Testing Chapter 6 - Hypothesis Tests with Means of Samples Chapter 7 - Making Sense of Statistical Significance: Effect Size and Statistical Power Chapter 8 - Introduction to the t Test: Single Sample and Dependent Means Chapter 9 - The t Test for Independent Means Chapter 10 - Introduction to the Analysis of Variance Chapter 11- Chi-Square Tests and Strategies When Population Distributions Are Not Normal Chapter 12 - Applying Statistical Methods in Your Own Research Project