The mean of the sampling distribution of the sample means is the mean of the population from which the scores were sampled:
μxˉ=μ==59+5+6+12+15=9.4.
Population variance:
σ2=∑(xi−μ)2⋅P(xi),
X−μ=={9−9.4,5−9.4,6−9.4,12−9.4,15−9.4}=
={−0.4,−4.4,−3.4,2.6,5.6},
σ2=(−0.4)2⋅51+(−4.4)2⋅51+(−3.4)2⋅51++2.62⋅51+5.62⋅51=13.84.
Variance of the sampling distribution of sample means:
σxˉ2=nσ2=213.84=6.92.
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