The variance, 6², of a probability distribution is used to describe the spread of the values of the random variable. The formula for the variance of a probability distribution is given below. 6² = Σ(x-μ)²f(x) The mean, μ, is needed to calculate the variance. We found E(x) = μ = 8. Again, the use of a table will help organize the necessary values to find the variance. X 4 8 12 x-μ 4-8=-4 0 4 (x-μ)² (-4)² = 16 4 0 Thus, the variance is ² = 5 f(x) 0.50 0.25 16(0.25) = 4 X 0.25 X (x- 0 -μ)² f(x) 1 = 0² = [(x-μ)²f(x) X 5 X
The variance, 6², of a probability distribution is used to describe the spread of the values of the random variable. The formula for the variance of a probability distribution is given below. 6² = Σ(x-μ)²f(x) The mean, μ, is needed to calculate the variance. We found E(x) = μ = 8. Again, the use of a table will help organize the necessary values to find the variance. X 4 8 12 x-μ 4-8=-4 0 4 (x-μ)² (-4)² = 16 4 0 Thus, the variance is ² = 5 f(x) 0.50 0.25 16(0.25) = 4 X 0.25 X (x- 0 -μ)² f(x) 1 = 0² = [(x-μ)²f(x) X 5 X
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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