The mean square deviation of the variate X from ------ is minimum.
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Remember these two critical minimization properties for competitive exams:
- Sum of Squared Deviations \(\sum(X_i - A)^2\) is minimum about the Mean.
- Sum of Absolute Deviations \(\sum|X_i - A|\) is minimum about the Median.