Florida B.E.S.T. MA.912.DP.2.1
The Standard
For two or more sets of numerical univariate data, calculate and compare the appropriate measures of center and measures of variability, accounting for possible effects of outliers. Interpret any notable features of the shape of the data distribution.
Florida B.E.S.T. Standards for Mathematics
Teacher's field guide
What This Standard Means
What Students Need to Do
- Students calculate measures of center and variability for two or more numerical data sets. They compare the distributions and explain how outliers, skew, clusters, or gaps affect conclusions.
What Mastery Looks Like
- Students accurately calculate mean, median, range, IQR, and other requested measures for each data set. They choose useful measures and explain differences using shape and outliers.
Common Misconceptions
- Students may use the mean even when an outlier makes it misleading. They may confuse range with IQR or describe a distribution as skewed based only on one unusual value.
How to Assess It
- Give Data A: 2, 3, 4, 5, 6, 7, 8 and Data B: 2, 3, 4, 5, 6, 7, 30. Ask students to compare center, spread, shape, and the outlier's effect.
Lesson moves
Ways to Teach It
Build two dot plots with linking cubes, mark each center, then move one cube to create an outlier and recalculate.
Show two team score plots and ask, "Which team performed better and which was more consistent? Support both claims with data."
Give pairs of data cards for students to calculate, compare, and sort by greater center, greater variability, or stronger skew.
Collect travel times to school from two classes, then compare typical time, consistency, distribution shape, and unusual values.
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