Question #110782
Consider a population of 6 units with values 1, 2, 3, 4, 5 and 6. Write down
all possible samples of size 2 from this population. Obtain the sampling
distribution of the sample mean. Compute mean and variance of the sampling
distribution obtained.
1
Expert's answer
2020-04-20T15:48:22-0400

There are 36 samples of size two which can be drawn with replacement:  

(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),

(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),

(3,1),(3,2),(3,3),(3,4),(3,5),(3,6),(3,1),(3,2),(3,3),(3,4),(3,5),(3,6),

(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),

(5,1),(5,2),(5,3),(5,4),(5,5),(5,6),(5,1),(5,2),(5,3),(5,4),(5,5),(5,6),

(6,1),(6,2),(6,3),(6,4),(6,5),(6,6).(6,1),(6,2),(6,3),(6,4),(6,5),(6,6).

The corresponding sample means are 

1.0,1.5,2.0,2.5,3.0,3.5,1.0,1.5,2.0,2.5,3.0,3.5,

1.5,2.0,2.5,3.0,3.5,4.0,1.5,2.0,2.5,3.0,3.5,4.0,

2.0,2.5,3.0,3.5,4.0,4.5,2.0,2.5,3.0,3.5,4.0,4.5,

2.5,3.0,3.5,4.0,4.5,5.0,2.5,3.0,3.5,4.0,4.5,5.0,

3.0,3.5,4.0,4.5,5.0,5.5,3.0,3.5,4.0,4.5,5.0,5.5,

3.5,4.0,4.5,5.0,5.5,6.03.5,4.0,4.5,5.0,5.5,6.0



xˉ1.01.52.02.53.03.54.04.55.05.56.0p(xˉ)136118112195361653619112118136\begin{matrix} \bar{x} & 1.0 & 1.5 & 2.0 & 2.5 & 3.0 & 3.5 & 4.0 & 4.5 & 5.0 & 5.5 & 6.0 \\ p(\bar{x}) & {1 \over36} & {1 \over18} & {1 \over12} & {1 \over9} & {5 \over36} & {1 \over6} & {5 \over36} & {1 \over9}& {1 \over12} & {1 \over18} & {1 \over36} \end{matrix}


μxˉ=1(136)+1.5(118)+2(112)+2.5(19)+3(536)+\mu_{\bar{x}}=1( {1 \over36})+1.5( {1 \over18} )+2( {1 \over12} )+2.5( {1 \over9} )+3( {5 \over36} )+

+3.5(16)+4(536)+4.5(19)+5(112)+5.5(118)+6(136)=+3.5( {1 \over6})+4( {5 \over36} )+4.5( {1 \over9} )+5( {1 \over12} )+5.5( {1 \over18} )+6({1\over36} )=

=3.5=3.5


σxˉ2=(13.5)2(136)+(1.53.5)2(118)+(23.5)2(112)+\sigma_{\bar{x}}^2=(1-3.5)^2( {1 \over36})+(1.5-3.5)^2( {1 \over18} )+(2-3.5)^2( {1 \over12} )+

+(2.53.5)2(19)+(33.5)2(19)+(3.53.5)2(19)++(2.5-3.5)^2( {1 \over9} )+(3-3.5)^2( {1 \over9} )+(3.5-3.5)^2( {1 \over9} )+

+(43.5)2(19)+(4.53.5)2(19)+(53.5)2(19)++(4-3.5)^2( {1 \over9} )+(4.5-3.5)^2( {1 \over9} )+(5-3.5)^2( {1 \over9} )+

+(5.53.5)2(19)+(63.5)2(19)=35241.458333+(5.5-3.5)^2( {1 \over9} )+(6-3.5)^2( {1 \over9} )={35 \over 24}\approx1.458333

σxˉ=35241.207615\sigma_{\bar{x}}=\sqrt{{35 \over 24}}\approx1.207615


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