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M1-051-A09-V03
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S-ID.2
Warmup
M1-051-A09-V03
Compare data sets using center and spread measures appropriate to distribution shape.
Measure the effect of adding an outlier
Problem
Add \(100\) to \({5,6,7,8,9,10}\). Using the median-of-halves convention, calculate the before-and-after mean, median, range, and \(IQR\); report each signed change; and compare the measures' resistance to the outlier.
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A
before=(mean7.5, median7.5, range5, IQR3); after=(mean=145/7≈20.71, median8, range95, IQR4); changes=(mean +185/14, median +0.5, range +90, IQR +90); comparison=IQR is treated as nearly the range
B
before=(mean7.5, median7.5, range5, IQR3); after=(mean=145/7≈20.71, median8, range95, IQR4); changes=(mean 0, median +0.5, range +90, IQR +1); comparison=range is treated as changing while mean is unchanged
C
before=(mean7.5, median7.5, range5, IQR3); after=(mean=145/7≈20.71, median8, range95, IQR4); changes=(mean +185/14, median +0.5, range +90, IQR +1); comparison=all measures are treated as increasing greatly and equally
D
before=(mean7.5, median7.5, range5, IQR3); after=(mean=145/7≈20.71, median8, range95, IQR4); changes=(mean +185/14≈+13.21, median +0.5, range +90, IQR +1); comparison=median/IQR change much less than mean/range
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Curriculum context
Standard S-ID.2
Category Statistics and Probability
Domain Interpreting Categorical and Quantitative Data
Objective Compare data sets using center and spread measures appropriate to distribution shape.
Problem type Measure the effect of adding an outlier