Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.
In plain words: Students compare two data sets with similar spread by how much they overlap, and express the gap between their centers as a multiple of a measure of variability.
Quick picks
- Common mistake
- Judging only the gap between means: a 10 cm gap is large when each group's MAD is 5 cm and small when it is 20 cm.
- Builds on
- 6.SP.B.5Summarizing data in context
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