a population consists of the five measurements 2, 6, 8, 3 & 1. how many different samples of size n=2 can be drawn from the population? what is the mean & variance of the sampling distribution of the sample means
we define the following
The number of possible samples = (5C2) =10 possible samples
possible samples and their mean are as below
(2,3) = 2.5
(2,8) = 5
(2,6) = 4
(2,1) = 1.5
(6,8) = 7
(6,3) = 4.5
(6,1) = 3.5
(8,3) = 5.5
(8,1) = 4.5
(3,1) = 2
hence the mean of the sample means = (2.5+5+4+1.5+7+4.5+3.5+5.5+4.5+2)/10
on solving we get it equals to 4 which is the solution.
variance = ( (2.52+52+42+1.52+72+4.52+3.52+5.52+4.52+22)/10 ) - (42)
= 18.55 - 16 = 2.55
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