Consider all samples of size 4 from this population without replacement: 6 8 10 12 13 what is the mean and standard deviation of the sampling distribution
We have population values "6,8,10,12,13," population size "N=5" and sample size "n=4." Thus, the number of possible samples which can be drawn without replacement is
"\\binom{N}{n}=\\binom{5}{4}=5"
The sampling distribution of the sample means.
"E(\\bar{X})=\\sum \\bar{X} f(\\bar{X})=9.8\n\n\\\\\\begin{array}{c}\\mu=\\frac{6+8+10+12+13}{5}=9.8\\end{array}"
The mean of the sampling distribution of the sample means is equal to the
the mean of the population.
"E(\\bar{X})=\\mu_{\\bar{X}}=9.8=\\mu\n\\\\ \\begin{array}{c}\\operatorname{Var}(\\bar{X})=\\sum \\bar{X}^{2} f(\\bar{X})-\\left(\\sum \\bar{X} f(\\bar{X})\\right)^{2} \\\\ =96.45-(9.8)^{2}=0.41 \\\\ \\sigma_{\\bar{X}}=\\sqrt{\\operatorname{Var}(\\bar{X})}=\\sqrt{0.41} \\approx 0.6403\\end{array}"
Comments
Leave a comment