Question #311746

Problem: A sample with size n = 4 is drawn from the set 5, 6, 9, 12a 13. Construct the sampling distribution of the means. Find the mean and the standard deviation. Include your solution and box your final answer in mu overline x and 2 sigma overline x

Expert's answer

Solution

Population size N=5N= 5

Sample size n=4n=4


Possible samples

=C54=(54)=5=C_5^4= \binom{5}{4}=5 Samples


no.SampleMean1.5,6,9,128.002.5,6,9,138.253.5,6,12,139.004.5,9,12,139.755.6,9,12,1310.00\begin {matrix}no.& Sample &Mean\\1.&5,6,9,12&8.00\\2.&5,6,9,13&8.25\\3.&5,6,12,13&9.00\\4.&5,9,12,13&9.75\\5.&6,9,12,13&10.00\end{matrix}


1. Mean =Xˉf(Xˉ)=\sum \bar Xf(\bar X)


Xˉff(Xˉ)Xˉf(Xˉ)Xˉ2f(Xˉ)8.0011/51.6012.80008.2511/51.6513.61259.0011/51.8016.20009.7511/51.9519.012510.0011/52.0020.0000519.0081.625\begin {matrix}\bar X&f&f(\bar X)&\bar Xf(\bar X)&\bar X^2f(\bar X)\\8.00&1&1/5&1.60&12.8000\\8.25&1&1/5&1.65&13.6125\\9.00&1&1/5&1.80&16.2000\\9.75&1&1/5&1.95&19.0125\\10.00&1&1/5&2.00&20.0000\\\sum&5&1&9.00&81.625\end{matrix}


Mean =Xˉf(Xˉ)=\sum \bar Xf(\bar X)


Mean =9.000=9.000


2. Standard deviation

σ=Xˉ2f(Xˉ)(Xˉf(Xˉ))2\sigma=\sqrt {\sum \bar X^2 f(\bar X)-(\sum \bar X f(\bar X))^2 }


σ=81.62581.000\sigma=\sqrt{81.625-81.000}


σ=0.791\sigma =0.791



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