Learning Goal
Understand that patterns of association can also be seen in bivariate categorical data
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
- Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
- Guided Notes →One page your students fill in and keep.
- Exit Ticket →Three items at the end of class. No student accounts.
- Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
- Homework →Assign practice; it grades itself.
**8.SP.A.4**: Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. *For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?*
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8.SP.A.4: Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
What you'll learn
- Distinguish between categorical and measurement (numerical) data and explain why scatter plots are not appropriate for categorical variables
- Construct a two-way frequency table from raw data on two categorical variables, correctly placing joint frequencies in cells, marginal frequencies in row and column totals, and the grand total in the corner
- Calculate relative frequencies from a two-way table in three ways: relative to the grand total, relative to row totals, and relative to column totals
- Use row or column relative frequencies to determine whether two categorical variables show evidence of association, by comparing the conditional distributions across categories
- Interpret patterns of association in context and explain informally why association does not imply causation
Slides
Step through the lesson, or watch it as a narrated video • 2 slide decks
Two way tables
✓ Start hereRelative frequencies association
Practice
Try it on your own