AI Tutor

lesson

Analyzing Simpson's Paradox and Lurking Variables in Categorical Data

Bivariate Categorical Data and Contingency Tables

12th Grade·Math·Open Global Math

Updated 1 month ago · 2 views

Identify and explain Simpson's Paradox where aggregate trends reverse upon conditioning on a lurking confounding variable.

Premium Lesson

Upgrade to unlock this lesson, practice questions, and your personal tutor.

This lesson is part of a track

Public learning track

Bivariate Categorical Data and Contingency Tables

12th Grade · Math · Open Global Math

6 lessons

Goal

Summarize bivariate categorical data, calculate joint, marginal, and conditional relative frequencies, and test for independence.

6 lessons

0 of 6 done

Organizing Categorical Data Using Two-Way TablesUp next
Calculating Joint and Marginal Relative FrequenciesNot started yet
Computing and Interpreting Conditional Relative FrequenciesNot started yet
Visualizing Categorical Associations with Segmented and Mosaic PlotsNot started yet
Evaluating Statistical Independence and Association in Contingency TablesNot started yet
Analyzing Simpson's Paradox and Lurking Variables in Categorical DataYou are here

View full track

Learning standards covered

OGM.13.STA.4Open Global Math Standards 2026™ · 12th Grade

Summarize bivariate categorical data in two-way frequency tables; compute joint, marginal, and conditional relative frequencies; evaluate associations, trends, and independence between categorical variables.