Data Analysis Concepts
2 concepts · Grades 6-8, 8-12 · 1 prerequisite connections
This family view narrows the full statistics map to one connected cluster. Read it from left to right: earlier nodes support later ones, and dense middle sections usually mark the concepts that hold the largest share of future work together.
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Concepts flow left to right, from foundational to advanced. Hover to highlight connections. Click any concept to learn more.
Connected Families
Data Analysis concepts have 5 connections to other families.
All Data Analysis Concepts
Relative Frequency
Relative frequency is the fraction or percentage of times a value occurs out of the total number of observations. It converts raw counts into proportions, enabling fair comparisons between groups of different sizes.
"Instead of saying '15 students picked pizza,' you say '15 out of 50' or '30%.' Relative frequency compares to the whole, making different-sized groups comparable."
Why it matters: Relative frequency allows fair comparisons across groups of different sizes. It's essential for understanding proportions and probability.
Conditional Relative Frequency
Conditional relative frequency is the proportion of cases in one group that also belong to another category, measured within a chosen row or column total of a two-way table. Joint and marginal relative frequencies describe the cell shares and row or column totals that support this calculation.
"A two-way table becomes much more informative once you stop reading raw counts and start reading percentages within the relevant group."
Why it matters: Conditional relative frequencies are the bridge between two-way tables, association, and conditional probability.