What is the probability that a tested detail was faulty?

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SUMMARY

The discussion focuses on calculating the conditional probability that a tested detail was faulty given that it tested as not faulty. The known probabilities are: the probability of a detail being faulty is 0.03, the probability of a faulty detail testing faulty is 0.82, and the probability of a non-faulty detail testing faulty is 0.06. Using these values, the calculation involves determining the total number of faulty and non-faulty details tested and applying Bayes' theorem to find the desired probability.

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Romanka
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Please, help me to solve the problem
Details at a factory are tested randomly to check if they are faulty. It is known from previous experience that the probability of a
faulty detail is known to be 0.03. If a faulty detail is tested the probability of it testing faulty is 0.82. If a non-faulty detail is
tested the probability of it testing faulty is 0.06. Given that the detail was tested as not been faulty, calculate the
probability that it was faulty.

I understand that it's about conditional probability, but can't get it.
Thanks!
 
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Have you considered drawing a 2x2 grid and filling in the boxes?
 
Romanka said:
Details at a factory are tested randomly to check if they are faulty. It is known from previous experience that the probability of a faulty detail is known to be 0.03. If a faulty detail is tested the probability of it testing faulty is 0.82. If a non-faulty detail is tested the probability of it testing faulty is 0.06. Given that the detail was tested as not been faulty, calculate the probability that it was faulty.
Use $F$ for faulty and $T$ for a positive test.
From the given: $\mathcal{P}(F)=0.03,~\mathcal{P}(T|F)=0.82,~\&~
\mathcal{P}(T|F^c)=0.06$

Now you want $\mathcal{P}{(F|T^c)}$$=\dfrac{\mathcal{P}(F\cap T^c)}{\mathcal{P}(T^c)}$.
 
thanks, I'll try



---------- Post added at 03:27 PM ---------- Previous post was at 03:26 PM ----------

Plato said:
Use $F$ for faulty and $T$ for a positive test.
From the given: $\mathcal{P}(F)=0.03,~\mathcal{P}(T|F)=0.82,~\&~
\mathcal{P}(T|F^c)=0.06$

Now you want $\mathcal{P}{(F|T^c)}$$=\dfrac{\mathcal{P}(F\cap T^c)}{\mathcal{P}(T^c)}$.

that's exactly what I need! thank you so much!
 
Here's how I like to do problems like this: Imagine there are 10000 details (chosen to avoid fractions).

"It is known from previous experience that the probability of a faulty detail is known to be 0.03."
Okay, so our 10000 sample includes (0.03)(10000)= 300 faulty details and 10000- 300= 9700 that are not faulty.

"If a faulty detail is tested the probability of it testing faulty is 0.82."
Of the 300 faulty details, (0.82)(300)= 246 will test faulty, the other 54 will test not-faulty.

"If a non-faulty detail is tested the probability of it testing faulty is 0.06."
Of the 9700 non-faulty details, (.06)(9700)= 582 will test faulty. 9700- 582= 9118 will test not-faulty.

"Given that the detail was tested as not been faulty, calculate the probability that it was faulty."
There are a total of 9118+ 54= 9172 details that test non-faulty of which 54 are faulty.
 
thanks!
 
By the way, "detail" doesn't seem like quite the word you want. "Detail" means a small part of something larger. I suspect this was translated from another language and you really wanted "item".
 
Yes, maybe. But I got the problem about "details" (Thinking)
 
Romanka said:
Yes, maybe. But I got the problem about "details" (Thinking)
YES. But what was language of the question?
Did you use a translation program to post it here?
 

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