We have population values "16, 18, 20, 22," population size "N=4," and sample size "n=2." Thus, the number of possible samples which can be drawn without replacement is
"Variance=\\sigma^2"
"=\\dfrac{(16-19)^2+(18-19)^2+(20-19)^2+(22-19)^2}{4}=5"
"\\def\\arraystretch{1.5}\n \\begin{array}{c:c:c}\n No & Sample & Mean \\\\ \\hline\n 1 & (16, 18) & 17 \\\\\n \\hdashline\n 2 & (16, 20) & 18 \\\\\n \\hdashline\n3 & (16, 22) & 19 \\\\\n \\hdashline\n4 & (18, 20) & 19 \\\\\n \\hdashline\n5 & (18, 22) & 20 \\\\\n \\hdashline\n6& (20, 22) & 21 \\\\\n \\hdashline\n\\end{array}"
The sampling distribution of the sample mean "\\bar{x}" and its mean and standard deviation are:
"E(\\bar{X})=\\sum\\bar{x}f(\\bar{x})=19"
"Var(\\bar{X})=\\sum\\bar{x}^2f(\\bar{x})-(\\sum\\bar{x}f(\\bar{x}))^2"
"=\\dfrac{1088}{3}-19^2=\\dfrac{5}{3}"
"E(\\bar{X})=19=\\mu"
"Var(\\bar{X})=\\dfrac{5}{3}=\\dfrac{\\sigma^2}{n}(\\dfrac{N-n}{N-1})=\\dfrac{5}{2}(\\dfrac{4-2}{4-1})"
Comments
Leave a comment