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Making Decision
Lastly a decision should be arrived as to whether the null hypothesis is to be accepted or rejected. In this regard the value of the test statistic computed to test the hypothesis plays a very important role. If the computed value of the test statistic is less than the critical value the computed value of the test statistic falls in the acceptance region and null hypothesis is accepted. If the computed value of the test statistic is greater than the critical value the computed value of the test statistic fall in the rejection region and null hypothesis is rejected. Usually 5% level of significance α = 0.05 is used in testing a hypothesis and taking a decision unless otherwise any other level of significance is specifically stated.
This methods studies development from simpler forms through a long series of a small change. Each change by itself results in minor modification in the phenomenon but the
difference between simplex solution procedure for maximisation and minimisation
A FIRM MANUFACTURES HAEDACHE PILLS IN TWO SIZE A AND B
Minimization Example A farmer is advised to utilize at least 900 kg of mineral A and 1200 kg of mineral B to increase the productivity of crops in his fields.
NWCR
A paper mill produces two grades of paper viz., X & Y. Because of raw material restrictions, it cannot produce more 400 tons of grade X paper & 300 tons of grade Y paper in a week.
#what is the similarity and differences between transportation and linear programing models?
write down any two assumption of L.P
Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
Decision making is not only the headache of management rather all of us make decisions. We daily decide about minor issues. The essential characteristics of all decisions
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