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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.
the dual form of the following lpp min z=3x1+2.5x2 constraints:2x1+4x2>=40, 3x1+2x2>=50 and x1,x2>=0
a practical example
how to solve it
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