Question

This quantity is equal to the square root of lambda for the Poisson distribution. This quantity is denoted “k” while squared in the (-5[2])denominator (15[1]-5[1])in Chebyeshev’s Inequality, The second central moment squared gives this quantity. (15[2])The Empirical Rule states that (-5[1])(*) 68, (10[2])95, (15[1])and (10[1])99.7 (10[1])percent (10[1])of (10[1])a normal (10[1])distribution will lie between (-5[1])1, 2, or 3 (10[1])of these from (10[2])the (-5[1])mean, respectively. (10[1]-5[1])The (10[1])coefficient of variation is equal to this (10[1])quantity (10[1])over the (-5[1])mean. This quantity, which is denoted lowercase sigma, is the (10[1])square root of the variance. For 10 points, (10[1])name this measure of the dispersion in a set of values. (10[1]0[1])■END■ (10[1]0[1])

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