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Chi square Test for the Population variance
When we want to test that a random sample has been drawn from a normal population having specified variance then X2 statistic under the null hypothesis for the random sample of n size will be.
X2 = ∑ (X- x¯) / = ns2/
With (n-1) = Degree of freedom
where S2= sample variance
X2= population variance
N= sample size
This value of X2 will be compared with the table value at (n-1) degree of freedom at certain level of significance for accepting or rejecting null hypothesis.
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This method is more systematic and orderly than least cost method. Here penalties for each column and row of the transportation table are determined, and the row or column with
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USE SIMPLE METHOD TO SOLVE THE FOLLOWING LPP MAXIMISE Z=4X1+10X2 SUBJECT TO CONSTRAINS, 2X1+X2 2X1+5X2 2X1+3X2 X1, X2>0
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