Answer:
no solution
not sure but you can use math
way to solve
Answer:
9/13 = 0.6923
Step-by-step explanation:
We start by defining
A as event that head was flipped
B1 = event that coin is biased
B2 = event that it is unbiased
P(B1) = 3/5
P(B2) = 2/5
P(A|B1) = 3/4
P(A|B2) = 2/4 = 1/2
When we solve this using bayes theorem we have to find
p(B1|A) = [P(B1) x P(A|B1)]/[P(B1) x P(A|B1) + P(B2) x P(A|B2)
= 0.6 x 0.75 / 0.6 x 0.75 + 0.4x0.5
= 0.45/0.45+0.2
= 0.45/0.65
= 0.6923
Answer:
Expected_A = 1.36
Expected_B = 1.54
Company A, as it has the lowest expected number of defective boards
Step-by-step explanation:
What is the expected number of defective circuit boards for company A?
To obtain this value, we multiply the probabilities of each, per the number of defective circuit boards
Expected_A = 0*(0.21) + 1*(0.3) + 2*(0.41) + 3*(0.08)
Expected_A = 1.36
What is the expected number of defective circuit boards for company B?
Expected_B = 0*(0.18) + 1*(0.32) + 2*(0.28) + 3*(0.22)
Expected_B = 1.54
Which company should be chosen for purchasing circuit boards?
Company A, as it has the lowest expected number of defective boards
Answer:
C.
Step-by-step explanation:
I dont really know so hope its right.