Tossup

This quantity is minimized for an unbiased estimator that is a function of a complete and sufficient statistic by the Lehmann–Scheffé (“LAY-man shef-FAY”) theorem. Ronald Fisher developed a test that generalizes the t-test to more than two groups named for the “analysis of” (10[1])this quantity. For two random variables (-5[1])X and Y, the expected value of (10[1])X times Y minus the product of the expected values of X and Y gives this quantity’s “co-” form. (10[2])This (-5[1])quantity is the second central (10[1])moment of a distribution, (10[1])and is equal to the mean for a Poisson (“pwa-SAWN”) distribution. For a random variable X, this quantity is the [read slowly] expected value of X squared, minus the square of the expected value of X. (10[1])For 10 points, the square of the standard deviation is equal to what (10[1])measure of spread? ■END■ (0[1])

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