A population consists of five (5) measurements 2, 3, 6, 5, and 7.
1. Mean "= \\frac{2+3+6+5+7}{5}=4.6"
2. Variance "= \\frac{1}{5-1}( (2-4.6)^2 + (3-4.6)^2 + (6-4.6)^2+ (5-4.6)^2+(7-4.6)^2 )"
"= \\frac{1}{4}(6.76+2.56+1.96+0.16+5.76) \\\\\n\n= 4.3"
3. Number of sample "= \\frac{5!}{2!(5-2)!} = \\frac{20}{20}=10"
4.
The mean of the sampling distribution of the sample means = 4.6
5. The variance of the sampling distribution of the sample means = 1.43
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