Explanation:
Weighted mean assigns different weights to observations based on their relative importance, providing a more accurate central value when some data points carry more significance than others.
Explanation:
Consistency checks ensure no calculated frequency (e.g., from marginal totals) is negative, as counts cannot be negative; all must be non-negative integers for logical validity.
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