1. A population consisting of the values (1, 3, 5, 7). Consider all possible samples of size 2 which can be drawn with replacement from the population. Find the mean and variance of the sampling distribution of the sample mean.
The number of possible samples which can be selected with replacement is
"N^n=4^2=16."
Population mean:
"\\mu=\\cfrac{1+3+5+7}{4}=4."
Population variance:
"\\sigma^2=\\sum(x_i-\\mu)^2\\cdot P(x_i),"
"X-\\mu=\\begin{Bmatrix}\n 1-4,3-4, 5-4,7-4\n\\end{Bmatrix}="
"=\\begin{Bmatrix}\n-3, - 1,1,3\n\\end{Bmatrix},"
"\\sigma^2=(-3)^2\\cdot \\cfrac{1}{4}+(-1)^2\\cdot \\cfrac{1}{4}+\\\\\n+1^2\\cdot \\cfrac{1}{4}+3^2\\cdot \\cfrac{1}{4}=5."
Mean of the sampling distribution of sample means:
"\\mu_{\\bar x} =\\mu=4."
Variance of the sampling distribution of sample means:
"\\sigma^2_{\\bar x}=\\cfrac{\\sigma^2}{n}=\\cfrac{5}{2}=2.5."
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