Question #333090

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.


Expert's answer

The number of possible samples which can be selected with replacement is

Nn=42=16.N^n=4^2=16.



Population mean:

μ=1+3+5+74=4.\mu=\cfrac{1+3+5+7}{4}=4.


Population variance:

σ2=(xiμ)2P(xi),\sigma^2=\sum(x_i-\mu)^2\cdot P(x_i),

Xμ={14,34,54,74}=X-\mu=\begin{Bmatrix} 1-4,3-4, 5-4,7-4 \end{Bmatrix}=

={3,1,1,3},=\begin{Bmatrix} -3, - 1,1,3 \end{Bmatrix},

σ2=(3)214+(1)214++1214+3214=5.\sigma^2=(-3)^2\cdot \cfrac{1}{4}+(-1)^2\cdot \cfrac{1}{4}+\\ +1^2\cdot \cfrac{1}{4}+3^2\cdot \cfrac{1}{4}=5.



Mean of the sampling distribution of sample means:

μxˉ=μ=4.\mu_{\bar x} =\mu=4.


Variance of the sampling distribution of sample means:

σxˉ2=σ2n=52=2.5.\sigma^2_{\bar x}=\cfrac{\sigma^2}{n}=\cfrac{5}{2}=2.5.








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