Solving Probability Problem: 5th Good Item on 9th Test

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The probability problem involves determining the likelihood of finding the fifth good light bulb on the ninth test from a box containing 6 good and 8 defective bulbs. The solution requires calculating the combinations of drawing 5 good and 4 defective bulbs in the first 8 tests, followed by drawing a good bulb on the ninth test. The calculations involve using binomial coefficients to find the probability of this specific arrangement. There is agreement that the complexity of conditional probabilities may exceed the typical course material for the original poster. The final consensus leans towards a simplified approach that aligns with common student examples in probability theory.
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Here's the question:
A box contains 6 good and 8 defective light bulbs. The bulbs are drawn out one at a time, without replacement, and tested. What is the probability that the fifth good item is found on the ninth test?

Could someone explain how I would go about solving this problem? Thanks!
 
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If I told you the probability that exactly 4 good items have been found within 8 tests was 0.68, could you solve the problem?

(p.s. 0.68 is probably wrong)
 
Consider the first 9 balls, this can be done 14C9 ( from 14 choose 9 its on your calculator). If the 9th ball is the 5th good then the first 9 balls must consist of 5 good and 4 bad balls.
The probability of this happening is 6C5*8C4/14C9. If this is true you need the 9th ball to be good. This has probably 5/9.
So the probability is 6C5*8C4/14C9 * 5/9.
 
Not sure about that answer, Damned.

You want 4 good and 4 bad on the first 8, then to draw a bad on the 9th, which is to draw on of the 4 remaining bad ones from the 6 that are left.

\frac{\frac{4}{6}\binom{6}{4}\binom{8}{4}}{\binom{14}{8}}but they might well be the same after simplifying
 
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The fifth good item has to found on the 9th test. So you should replace the 4/6 with a 2/6 and this can be rearranged to give my answer. You solution is slighty better and more consistent with student examples of negative binomial etc.
 
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Sorry for switching things over, and yes I agree with your answer entirely now I've thought about it for a second. I also agree that such conditional probabilities would be beyond the scope of the course I imagine the OP is doing.
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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