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A manufacturing company has two factories F1 and F2 producing a certain commodity that is required at three retail outlets M1, M2 and M3. Once produced, the commodity is stored at one of the ve company warehouses, W1;W2;W3;W4;W5 from where it is distributed to thevarious retail outlets. It is not feasible to move the commodity from a warehouse to a factory, nor is it feasible to move the commodity from a retail outlet to a warehouse. The tables below give the maximum weekly amount of the commodity that can be moved from factory Fi to warehouse Wj and from warehouse Wj to retail outlet Mk. Maximum weekly movement of the commodity between warehouses is indicated in the network shown below. Each factory F1 and F2 has a weekly production capacity of 60 units. Using an appropriate network, determine the maximum amount of the commodity that can be supplied to the markets.
Chapter 7 2. Describe the distribution of sample means (shape, expected value, and standard error) for samples of n =36 selected from a population with a mean of µ = 100 and a sta
How large would the sample need to be if we are to pick a 95% confidence level sample: (i) From a population of 70; (ii) From a population of 450; (iii) From a population of 1000;
This process of estimating from a data set those values lying beyond range of the data. In the regression analysis, for instance, a value of the response variable might be estimate
Literature controls : The patients with the disease of interest who have received, in the past, one of two treatments under the investigation, and for whom the results have been pu
show all the ways in which 3 games of football can be concluded(it can be a win W,a loss L,or a draw X)
i need help for my assignment and the deadline is Friday
Opreation research phase
Q. A toothpaste company want to know if its new product increases the length of time in-between dentist visit to its user. The company sets a target for 180 days to determine if it
Lorenz curve : Essentially the graphical representation of cumulative distribution of the variable, most often used for the income. If the risks of disease are not monotonically in
The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0 i =0, 1, 2, 3
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