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.
Featured Diagrams
Organizing Categorical Data Using Two-Way Tables
6 lessons
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- 1Organizing Categorical Data Using Two-Way TablesUp nextStart
- 2Calculating Joint and Marginal Relative FrequenciesPremiumNot started yet
- 3Computing and Interpreting Conditional Relative FrequenciesNot started yet
- 4Visualizing Categorical Associations with Segmented and Mosaic PlotsNot started yet
- 5Evaluating Statistical Independence and Association in Contingency TablesNot started yet
- 6Analyzing Simpson's Paradox and Lurking Variables in Categorical DataNot started yet
Curriculum Framework
12th Grade · Math · Open Global Math
1
7 lessons
Advanced Univariate Distributions and Summary Statistics
Represent, summarize, and interpret univariate datasets using graphical representations, measures of central tendency, position, and dispersion.
2
6 lessons
Data Cleaning, Outlier Analysis, and Distributional Robustness
Identify anomalies, clean missing values, and evaluate the effect of extreme values on distribution metrics and reporting choices.
3
7 lessons
Continuous Normal Distributions and Probabilistic Modeling
Fit continuous normal distributions to empirical data, compute probabilities using Z-scores, and diagnose model validity.
4
6 lessons
Bivariate Categorical Data and Contingency Tables
Summarize bivariate categorical data, calculate joint, marginal, and conditional relative frequencies, and test for independence.
5
9 lessons
Bivariate Quantitative Modeling and Regression Analysis
Fit linear, quadratic, and exponential models to bivariate data, evaluate fit via residuals and correlation, and distinguish correlation from causation.