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Test Statistic
The next step is compute an appropriate test statistic which is based on an appropriate probability distribution. It is used to test whether the null hypothesis set up should be accepted or rejected. For this purpose we use Z distribution under normal curve for large sample where the sample size is equal to or larger than 30 (n ≥ 30) and the distribution for small sample where the sample size n less than 30 ( n< 30).
Importance of models
Normal 0 false false false EN-IN X-NONE X-NONE
application area of linear programing problem
Small Sample The central limit theorem does not work well with small samples even if the population in non Gaussian. So we cannot rely on the central limit theorem
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Maxz=3x1-2x2 St x1 -x2>_0, 3x1-x2 _0
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