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PtichkaEL [24]
3 years ago
14

A manufacturing process produces integrated circuit chips. Over the long run the fraction of bad chips produced by the process i

s around 20%. Thoroughly testing a chip to determine whether it is good or bad is rather expensive, so a cheap test is tried. All good chips will pass the cheap test, but so will 10% of the bad chips.
Given that a chip passes the test, what is the probability that the chip was defective?
Mathematics
1 answer:
Vitek1552 [10]3 years ago
5 0

Answer:

0.0244 (2.44%)

Step-by-step explanation:

defining the event T= the chips passes the tests , then

P(T)= probability that the chip is not defective * probability that it passes the test given that is not defective  + probability that the chip is defective * probability that it passes the test given that is defective = 0.80 * 1 + 0.20 * 0.10 = 0.82

for conditional probability we can use the theorem of Bayes. If we define the event D=the chip was defective , then

P(D/T)=P(D∩T)/P(T) = 0.20 * 0.10/0.82=  0.0244 (2.44%)

where

P(D∩T)=probability that the chip is defective and passes the test

P(D/T)=probability that the chip is defective given that it passes the test

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3 years ago
Which of the following in an identity?
sammy [17]
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What you have to do is take one of these and sort it out to an identity you know is true, or...

*FYI: You can always test identites like this:
Use the short angle of a 3-4-5 triangle, which would have these trig ratios:
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Let's start with c, just because it seems obvious.
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Airida [17]

Answer:

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0.5 hours 1 time.

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3 years ago
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Vesnalui [34]

Answer:

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=x

5 0
3 years ago
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