In the context of bivariate categorical data, associated means that there is a relationship or connection between the two variables being analyzed. The presence or absence of one category tends to be linked with specific categories in another variable.
Imagine you are observing students' shoe sizes and their heights. If taller students tend to have larger shoe sizes and shorter students tend to have smaller shoe sizes, then we can say that height and shoe size are associated.
Independence: Two variables are independent if knowing one does not provide any information about the other.
Odds Ratio: The odds ratio measures how strongly two variables are associated in terms of odds rather than probabilities.
Contingency Table: A contingency table is used to display frequencies or relative frequencies when analyzing bivariate categorical data.
When comparing within one population to see if two categorical variables are associated, which test should be used?
What does it mean for two variables to be associated in the context of bivariate categorical data?
From a two-way table, how can we determine if two categorical variables are associated or not?
Study guides for the entire semester
200k practice questions
Glossary of 50k key terms - memorize important vocab
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.