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Leona [35]
3 years ago
11

Two machines turn out all the products in a factory, with the first machine producing 40%of the product and the second 60%. The

first machine produces defective products 2% of the timeand the second machine 4% of the time. Given a defective product, what is the probability it wasproduced on the first machine
Mathematics
2 answers:
Mice21 [21]3 years ago
7 0

Answer:

Given a defective product, the probability it was produced on the first machine is \\ P(F|D) = 0.25.

Step-by-step explanation:

This is a case that can be solved using the <em>Bayes' Theorem</em>, which implies <em>conditional probabilities</em>.

We have to remember that in conditional probabilities, the <em>sample space</em> is replaced by the probability of a given event (as can be seen below).

First, we need to find the probability of <em>producing a defective product</em>:

\\ P(D) = P(D|F)*P(F) + P(D|S)*P(S) (1)

Where

P(D), the probability of producing a <em>defective product</em>.

P(F), the probability that the product was <em>produced by the first machine</em>. In this case, P(F) = 0.40.

P(S), the probability that the product was produced <em>by the second machine</em>. In this case, P(S) = 0.60.

P(D|F), a conditional probability that the product is <em>defective</em> given (or assuming) that it was produced by the <em>first machine</em>. In this case, from the question, P(D|F) = 0.02.

P(D|S), a conditional probability that the product is <em>defective</em> given (or assuming) that it was produced by the <em>second machine</em>. In this case, from the question, P(D|S) = 0.04.

So, from formula (1):

\\ P(D) = P(D|F)*P(F) + P(D|S)*P(S)

\\ P(D) = 0.02*0.40 + 0.04*0.60

\\ P(D) = 0.032

That is, the probability of producing a defective product from these two machines is P(D) = 0.032.

From conditional probabilities we know that:

\\ P(A \cap B) = P(A|B)*P(B)

\\ P(A \cap B) = P(B|A)*P(A) = P(B \cap A)

So

\\ P(A|B)*P(B) = P(B|A)*P(A)

In the same way, we can say that

\\ P(F|D)*P(D) = P(D|F)*P(F) = P(D \cap F) = P(F \cap D)

In words, the probability that both events (D and F) occur is given by the "relationship" of conditional probabilities between these two events.

Then

The probability that a product comes from the first machine, given it is  defective is as follows:

\\ P(F|D)*P(D) = P(D|F)*P(F)

\\ P(F|D) = \frac{P(D|F)*P(F)}{P(D)}

\\ P(F|D) = \frac{0.02*0.40}{0.032}

\\ P(F|D) = 0.25 or 25%.

vovikov84 [41]3 years ago
5 0

Answer:

0.4

Step-by-step explanation:

First Machine(M1) Produces 40% of the product.

P(M1)=40%=0.4

The first Machine Produces defective product(D) 2% of the Time.

P(D)=2%=0.02

Given a defective product(D), we want to find the probability that it was produced on the first machine(M1).

P(M1|D)=P(M1∩D)/P(D)

=(0.4 X 0.02)/0.02

=0.4

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