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Learning Goal
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Informally assess the degree of visual overlap of two numerical data distributions
Start lessonBegins with Comparing distributions with mad · Slides
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.
7.SP.B.3
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What you'll learn
- Visually compare two numerical data distributions displayed as dot plots or box plots placed side by side on a common scale, and describe the degree of overlap or separation they observe.
- Compute the Mean Absolute Deviation (MAD) of a small data set by finding the mean, calculating absolute deviations from the mean, and averaging those deviations.
- Calculate the difference between the means of two data distributions and express that difference as a multiple of the MAD.
- Use the MAD-multiple to make an informal judgment about whether the two distributions are noticeably separated, partially overlapping, or substantially overlapping.
- Connect a visual impression of separation on a dot plot to a numerical measure, explaining why a larger MAD-multiple corresponds to less overlap.
Slides
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1
Comparing distributions with mad
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