a population consists of three numbers (2,5,9). Consider all possible samples of size 2 which can be drawn from the population. Find the variance of the sampling distribution of the sample means.
There are "\\binom{N}{n}=N!\/(N-n)!*n!" possible ways of drawing a sample of size "n" from a population size of "N".
In this question, "N=3" and "n=2". Therefore, number of ways to draw samples of size "n=2" is,
"\\binom{3}{2}=3!\/2!=3"
The samples are,
(2,5),(2,9),(5,9)
The population mean"(\\mu)" is given as,
"\\mu=\\sum(x)\/N=(2+5+9)\/3=16\/3=5.3333"
The population variance"(\\sigma^2)" is given as,
"\\sigma^2=\\displaystyle\\sum^2_{i=1}(x_i-\\mu)^2\/N=24.6667\/3=8.2222"
Define the variance of the sampling distribution of the sample means by "\\sigma^2_m" then it is given by,
"\\sigma^2_m=\\sigma^2\/n=8.22222\/2=4.1111(4\\space dp)"
Thus, the variance of the sampling distribution of the sample means is "\\sigma^2_m=4.1111"
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