find the two angle measures from the diagram 3x+10 3x-28 there's 3 answer's 71,71 109 ,109 109,71 last question brainiest u will
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The testing of the four vertices of the objective function gives;
C(5, 0, 55) = 430
C(5, 30, 25) = 400
C(15, 30, 15) = 420
C(45, 0, 15) = 510 (maximum)
<h3>How to test objective functions?</h3>The objective function is seen as attached.
Now, it is noticed that just two of the vertices are listed. The other two vertices are intersections of x + y + z = 60 with x = 5 and the constraints on y.
We will assume that; 0 ≤ y ≤ 30
Thus, the missing vertices are;
(x, y, z) = (5, 0, 55) and (5, 30, 25)
The two given vertices are;
(x, y, z) = (15, 30, 15) and (45, 0, 15)
Therefore, the objective function values are;
C(5, 0, 55) = 9·5 +6·0 +7·55 = 45 +0 +385 = 430
C(5, 30, 25) = 9·5 +6·30 +7·25 = 45 +180 +175 = 400
C(15, 30, 15) = 9·15 +6·30 +7·15 = 135 +180 +105 = 420
C(45, 0, 15) = 9·45 +6·0 +7·15 = 405 +0 +105 = 510
Read more about Objective Functions at; brainly.com/question/16826001
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Answer:
Step-by-step explanation:
Hello!
There are 4 3D printers available to print drone parts, then be "Di" the event that the printer i printed the drone part (∀ i= 1,2,3,4), and the probability of a randomly selected par being print by one of them is:
D1 ⇒ P(D1)= 0.15
D2 ⇒ P(D2)= 0.25
D3 ⇒ P(D3)= 0.40
D4 ⇒ P(D4)= 0.20
Additionally, there is a chance that these printers will print defective parts. Be "Ei" represent the error rate of each print (∀ i= 1,2,3,4) then:
P(E1)= 0.01
P(E2)= 0.02
P(E3)= 0.01
P(E4)= 0.02
Ei is then the event that "the piece was printed by Di" and "the piece is defective".
You need to determine the probability of randomly selecting a defective part printed by each one of these printers, i.e. you need to find the probability of the part being printed by the i printer given that is defective, symbolically: P(DiIE)
Where "E" represents the event "the piece is defective" and its probability represents the total error rate of the production line:
P(E)= P(E1)+P(E2)+P(E3)+P(E4)= 0.01+0.02+0.01+0.02= 0.06
This is a conditional probability and you can calculate it as:
To reach the asked probability, first, you need to calculate the probability of the intersection between the two events, that is, the probability of the piece being printed by the Di printer and being defective Ei.
P(D1∩E)= P(E1)= 0.01
P(D2∩E)= P(E2)= 0.02
P(D3∩E)= P(E3)= 0.01
P(D4∩E)= P(E4)= 0.02
Now you can calculate the probability of the piece bein printed by each printer given that it is defective:
P(D2)= 0.25 and P(D2/E)= 0.33 ⇒ The prior probability of D2 is smaller than the posterior probability.
The fact that P(D2) ≠ P(D2/E) means that both events are nor independent and the occurrence of the piece bein defective modifies the probability of it being printed by the second printer (D2)
I hope this helps!