Question #254492

Given the population 1, 3, 4, 6 and 8. Suppose samples of size 3 are drawn from this population. What is the mean and standard deviation of the Sampling Distribution?


1
Expert's answer
2021-10-21T14:15:17-0400

Population size (N) = 5

Sample size (n) = 3

Total number of possible samples is:

(Nn)=(53)=10\dbinom{N}{n}=\dbinom{5}{3}=10

Mean and Standard deviation of sampling distribution:

E(Xˉ)=Xˉf(Xˉ)=13230=4.4E(\bar{X})=\sum\bar{X}f(\bar{X})=\frac{132}{30}=4.4

So, the mean of the sampling distribution of the sample means is 4.4.


Var(Xˉ)=Xˉ2f(Xˉ)(XˉfXˉ)2Var(\bar{X})=\sum \bar{X}^{2}f(\bar{X})-(\sum\bar{X}f\bar{X})^{2}


Var(Xˉ)=183090(13230)2=7375Var(\bar{X})=\frac{1830}{90}-(\frac{132}{30})^{2}=\frac{73}{75}


Var(Xˉ)=7375=0.9866\sqrt{Var(\bar{X})}=\sqrt{\frac{73}{75}}=0.9866


So, standard deviation of the Sampling Distribution is 0.9866.





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