A company has decided to use 0−1 integer programming to help make some investment decisions. There are three possible investment
alternatives from which to choose, but if it is decided that a particular alternative is to be selected, the entire cost of that alternative will be incurred (i.e., it is impossible to build one-half of a factory). The 0-1 integer programming model is as follows:MAX Z = 5000 X1 + 7000 X2 + 9000 X3s.t. 25000 X1 + 32000 X2 + 29000 X3 ≤ 62000 ........... (1)X1 + X2 + X3 ≤ 2 .............................................. (2)-X1 + X2 ≤ 0 ..................................................... (3)16 X1 + 14 X2 + 19 X3 ≤ 36 .............................. (4)All X1, X2, X3 must be either 0 or 1where X1 = 1 if alternative 1 is selected, 0 otherwiseX2 = 1 if alternative 2 is selected, 0 otherwiseX3 = 1 if alternative 3 is selected, 0 otherwiseSuppose you wish to add a constraint that stipulates that both alternative 1 and alternative 3 must be selected. How would this constraint be written?The correct answer is: X1 + X3 = 2, so I want to know how
1 answer:
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Answer:
2/3
Explanation:
Given the below;
We can see from the above that 9 is divisible by 3 and that 14 is divisible by 7, let's go ahead and reduce to the lowest term as shown below;
Step-by-step explanation:
Answer:
The 90% confidence interval would be given by (60.09;69.91)
We are 90% confident that the true mean for the speeds of vehicles traveling on a highway is between 60.09 and 69.91 miles per hour.
Step-by-step explanation:
1) Previous concepts
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
represent the sample mean for the sample
population mean (variable of interest)
s=9 represent the sample standard deviation
n=11 represent the sample size
2) Confidence interval
The confidence interval for the mean is given by the following formula:
(1)
In order to calculate the critical value we need to find first the degrees of freedom, given by:
Since the Confidence is 0.90 or 90%, the value of and
, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.05,10)".And we see that
Now we have everything in order to replace into formula (1):
So on this case the 90% confidence interval would be given by (60.09;69.91)
We are 90% confident that the true mean for the speeds of vehicles traveling on a highway is between 60.09 and 69.91 miles per hour.