A two-way table organizes categorical data for two variables and shows how they are related to each other.
Marginal Distribution: The marginal distribution shows the frequencies or proportions for one variable in a two-way table without considering the other variable.
Conditional Distribution: The conditional distribution shows how one variable varies depending on another variable in a two-way table.
Chi-Square Test: A chi-square test is a statistical test used to determine if there is a significant association between two categorical variables in a two-way table.
AP Statistics - 1.4 Representing a Categorical Variable with Graphs
AP Statistics - 2.3 Statistics for Two Categorical Variables
AP Statistics - Unit 8 Overview: Chi Square
AP Statistics - Unit 9 Overview: Slopes
What is the purpose of calculating expected counts in a two-way table?
Expected counts in a two-way table are based on:
When calculating expected counts in a two-way table, what does "n" represent?
Expected counts in a two-way table are calculated by:
From a two-way table, how can we determine if two categorical variables are associated or not?
Using the following two-way table, what is the conditional relative frequency of cat lovers given that they are female? | | Dogs | Cats | Total | |---------|------------|------------|-------| | Female | 100 | 200 | 300 | | Male | 150 | 250 | 400 | | Total | 250 | 450 | 700 |
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