The objective function is simply a function that is meant to be maximized. Because this function is multivariable, we know that with the applied constraints, the value that maximizes this function must be on the boundary of the domain described by these constraints. If you view the attached image, the grey section highlighted section is the area on the domain of the function which meets all defined constraints. (It is all of the inequalities plotted over one another). Your job would thus be to determine which value on the boundary maximizes the value of the objective function. In this case, since any contribution from y reduces the value of the objective function, you will want to make this value as low as possible, and make x as high as possible. Within the boundaries of the constraints, this thus maximizes the function at x = 5, y = 0.
Answer: 0.8015
Step-by-step explanation:
Let F= event that a person has flu
H= event that person has a high temperature.
As per given,
P(F) =0.35
Then P(F')= 1- 0.35= 0.65 [Total probability= 1]
P(H | F) = 0.90
P(H|F') = 0.12
By Bayes theorem, we have
Required probability = 0.8015
Given the information from the study, the average soil saturation for the county last year is 1.2 times the saturation reported for the Northwest part of the county this year.
<span>Also, the average soil saturation for the county last year is 0.25 of the saturation reported for the Southeast part of the county this year.</span>
Can you send me the another photo because it not understandable.
I will solve this. but question is also not completed.
92
29
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first times 9 by 2 then 9 by 9
then add a 0 for the second colum as a place holder then 2 times 2 and 9 times 2 add the two colums together
