Four rowers weighing 152, 156, 160, and 164 pounds make up a rowing team. Calculate the sample mean for each of the possible random samples with a size two replacement. They can be used to calculate the sample mean's probability distribution, mean, and standard deviation.
We have population values 152, 156, 160, and 164 population size N=4 and sample size n=2.
Mean of population "(\\mu)" =
"\\dfrac{152+156+160+164}{4}=158"Variance of population
"\\sigma=\\sqrt{\\sigma^2}=\\sqrt{20}=2\\sqrt{5}"
The number of possible samples which can be drawn without replacement is "^{N}C_n=^{4}C_2=6."
"\\def\\arraystretch{1.5}\n \\begin{array}{c:c:c:c:c}\n no & Sample & Sample \\\\\n& & mean\\ (\\bar{x})\n\\\\ \\hline\n 1 & 152, 156 & 154 \\\\\n \\hdashline\n 2 & 152, 160 & 156 \\\\\n \\hdashline\n 3 & 152, 164 & 158 \\\\\n \\hdashline\n 4 & 156, 160 & 158 \\\\\n \\hdashline\n 5 & 156, 164 & 160 \\\\\n \\hdashline\n 6 & 160,164 & 162 \\\\\n \\hdashline\n\\end{array}"Mean of sampling distribution
"\\mu_{\\bar{X}}=E(\\bar{X})=\\sum\\bar{X}_if(\\bar{X}_i)=158=\\mu"The variance of sampling distribution
"Var(\\bar{X})=\\sigma^2_{\\bar{X}}=\\sum\\bar{X}_i^2f(\\bar{X}_i)-\\big[\\sum\\bar{X}_if(\\bar{X}_i)\\big]^2""=\\dfrac{149824}{6}-(158)^2=\\dfrac{40}{6}= \\dfrac{\\sigma^2}{n}(\\dfrac{N-n}{N-1})""\\sigma_{\\bar{X}}=\\sqrt{\\dfrac{20}{3}}\\approx2.5820"
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