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Why is the plain sum of squared deviations a poor dispersion measure for sets of unequal size?
AIt can turn negative
BIt ignores the mean
CIt is always zero
DIt grows with the count
Answer & Solution
Correct answer: D. It grows with the count
A larger set piles up more squared terms, so dividing by the count is needed to compare spread.
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