Probability Ques: Attended program?

AI Thread Summary
The discussion revolves around calculating the probability that a new worker has attended a training program given that she has met her output target. The worker's output is influenced by whether they attended the program, with a 90% success rate for attendees and 65% for non-attendees. A tree diagram was attempted to visualize the probabilities, but clarification was needed on interpreting the data correctly. The conversation emphasizes the use of conditional probability and Bayes' theorem to derive the desired probability. Ultimately, the example provided illustrates how to systematically approach the problem using hypothetical numbers for clarity.
merci
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Hi All,
Hope there is a kind soul around to discuss with. Here goes:

1. Given that if a group of workers have attended a training program, they are able to meet the target output for 90% of the time. If new workers who do not attend, their output will be met 65%of the time. There is a group of new workers joining the company. 50% of them have attended the course. I need to find out whether the new worker has attended the training program if she has meet her output. ( No info given whether she has met target ,65% or 90% of the time)

2. I have tried using tree diagram:

New employee output time
0.5 ----> 0.9
----> 0.1
0.5 -----> 0.65
-----> 0.35

How do I do the linking of the problem above with formulas? I have just learned about conditional prob & bayes theorem.

Thanks for your views
 
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merci said:
Hi All,
Hope there is a kind soul around to discuss with. Here goes:

1. Given that if a group of workers have attended a training program, they are able to meet the target output for 90% of the time. If new workers who do not attend, their output will be met 65%of the time. There is a group of new workers joining the company. 50% of them have attended the course. I need to find out whether the new worker has attended the training program if she has meet her output. ( No info given whether she has met target ,65% or 90% of the time)

2. I have tried using tree diagram:

New employee output time
0.5 ----> 0.9
----> 0.1
0.5 -----> 0.65
-----> 0.35

How do I do the linking of the problem above with formulas? I have just learned about conditional prob & bayes theorem.

Thanks for your views

To do it systematically, first introduction some notation. Say M = {meets target}, T = {trained}. You are given the conditional probabilities P(M|T) (=?), P(M|not T) (=?) and the unconditional probability P(T) (=?). You want to know P(T|M). Do you know the formulas for getting this?

Note: I would rather not give you more help now; instead, I would like you to answer as many as you can of the questions as I asked above. Then you will be well on your way to solving the question yourself.

RGV
 
"( No info given whether she has met target ,65% or 90% of the time)," You are misinterpreting this information. 90% of the workers who have taken the programm meet the target, 65% of those who did not take the program meet the target. It is not a question of a percentage "of the time" for an individual.

Here's how I would do such a problem- Imagine that there are 1000 new workers (chosen to avoid decimal fractions). 50%, or 500, have attended the program, 500 have not. Of the 500 who attended the program, 90%, 450, meet the target. Of the 500 who did not, 65%, 325 meet the target. That makes a total of 450+ 325= 775 who meet the target, of whom 450 took the program.
 
I picked up this problem from the Schaum's series book titled "College Mathematics" by Ayres/Schmidt. It is a solved problem in the book. But what surprised me was that the solution to this problem was given in one line without any explanation. I could, therefore, not understand how the given one-line solution was reached. The one-line solution in the book says: The equation is ##x \cos{\omega} +y \sin{\omega} - 5 = 0##, ##\omega## being the parameter. From my side, the only thing I could...

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