Question #337111

Given the population 3 5,7,9,11,13





How many samples can be made from the population with sample size of 3?





Calculate the mean of the sampling distribution





Compute the variance o the sampling distribution

Expert's answer

The number of possible samples which can be selected without replacement is

(Nn)=N!n!⋅(N−n)!==6!3!⋅3!=4⋅5⋅62⋅3=20.\begin{pmatrix} N \\ n \end{pmatrix}=\cfrac{N! } {n! \cdot(N-n)! }=\\ =\cfrac{6! } {3! \cdot3! }=\cfrac{4\cdot5\cdot6}{2\cdot3}=20.



Population mean:

μ=3+5+7+9+11+136=8.\mu=\cfrac{3+5+7+9+11+13}{6}=8.


Population variance:

σ2=∑(xi−μ)2⋅P(xi),\sigma^2=\sum(x_i-\mu)^2\cdot P(x_i),

X−μ=={3−8,5−8,7−8,9−8,11−8,13−8}=X-\mu=\\ =\begin{Bmatrix} 3-8,5-8,7-8,9-8,11-8,13-8 \end{Bmatrix}=

={−5,−3,−1,1,3,5},=\begin{Bmatrix} -5, - 3,-1,1,3,5 \end{Bmatrix},

σ2=(−5)2⋅16+(−3)2⋅16++(−1)2⋅16+12⋅16+32⋅16+52⋅16=11.667.\sigma^2=(-5)^2\cdot \cfrac{1}{6}+(-3)^2\cdot \cfrac{1}{6}+\\ +(-1)^2\cdot \cfrac{1}{6}+1^2\cdot \cfrac{1}{6}+3^2\cdot \cfrac{1}{6}+5^2\cdot \cfrac{1}{6}=11.667.



Mean of the sampling distribution of sample means:

μxˉ=μ=8.\mu_{\bar x} =\mu=8.


Variance of the sampling distribution of sample means:

σxˉ2=σ2n=11.6673=3.889.\sigma^2_{\bar x}=\cfrac{\sigma^2}{n}=\cfrac{11.667}{3}=3.889.

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