Using R programming to find answer

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About 1 out of 1,000 items made on a production line is defective. There is a test to check
whether the item is defective. The test is quite accurate. In particular, we know that the
probability that the test result is positive (suggesting the item is defective), given that the item
is not defective, is only 2 percent, and the probability that the test result is negative (suggesting
the item is not defective), given that the item is actually defective, is only 1 percent. A random
item gets tested for defect and the result comes back positive. What is the probability that
the item is defective?

What I have tried:

#D = Product is Defective
#ND=Product is Not Defective
#P = Result is Postive
#NP = Resul is Negative

D=0.01
P=0.02

# Prob(P, given = D)
# Prob(D, given = P)

prior = c(0.01,0.02)
like = c(0.99,20.9)

Posted 9-Oct-20 10:11am

Member 14960302

Updated 9-Oct-20 10:45am

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Patrice T 9-Oct-20 17:45pm

and you have a question ?

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OriginalGriff · Answer 1 · 2020-10-09T10:45:00

We are more than willing to help those that are stuck: but that doesn't mean that we are here to do it all for you! We can't do all the work, you are either getting paid for this, or it's part of your grades and it wouldn't be at all fair for us to do it all for you.

So we need you to do the work, and we will help you when you get stuck. That doesn't mean we will give you a step by step solution you can hand in!
Start by explaining where you are at the moment, and what the next step in the process is. Then tell us what you have tried to get that next step working, and what happened when you did.

If you can't work out how to start, try this: How to Write Code to Solve a Problem, A Beginner's Guide[^]