Isameasureofitscentrallocation exxfx

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Unformatted text preview: iform probability function is The discrete uniform probability function is f(x) =x/n where: the values of the random variable are equally likely n = the number of values the random variable may assume Slide 10 5.3 Expected Value and Variance The expected value, or mean, of a random variable The expected value, or mean, of a random variable is a measure of its central location. is a measure of its central location. E(x) = µ = Σxf(x) The variance summarizes the variability in the The variance summarizes the variability in the values of a random variable. values of a random variable. Var(x) = σ 2 = Σ(x ­ µ)2f(x) The standard deviation, σ, is defined as the positive The standard deviation, σ, is defined as the positive square root of the variance. square root of the variance. Slide 11 Example 1 : JSL Appliances (cont.) s Expected Value of a Discrete Random Variab...
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This document was uploaded on 04/07/2014.

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