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

  • Context: Undergrad 
  • Thread starter Thread starter eku_girl83
  • Start date Start date
  • Tags Tags
    Probability
Click For Summary

Discussion Overview

The discussion revolves around a probability problem involving drawing light bulbs from a box containing good and defective items. Participants explore how to calculate the probability that the fifth good bulb is found on the ninth test, considering various approaches and interpretations of the problem.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the problem and requests guidance on how to solve it.
  • Another participant suggests that if the probability of finding exactly 4 good items in the first 8 tests is known (noting uncertainty about the value), it could help in solving the problem.
  • A different approach is proposed, calculating the probability based on combinations of good and defective bulbs drawn in the first 9 tests, leading to a formula involving combinations and the probability of the 9th bulb being good.
  • One participant challenges the previous calculation, suggesting a different arrangement of good and defective bulbs in the first 8 tests and providing an alternative formula.
  • Another participant suggests modifying the probability of drawing a defective bulb based on the requirement that the fifth good bulb must be found on the 9th test, indicating a shift in reasoning.
  • A later reply expresses agreement with the previous participant's reasoning and acknowledges that the complexity of conditional probabilities may exceed the expected scope of the original problem.

Areas of Agreement / Disagreement

Participants express differing views on how to approach the problem, with no consensus reached on the correct method or final answer. Multiple competing models and interpretations are presented throughout the discussion.

Contextual Notes

Some calculations rely on assumptions about the arrangement of good and defective bulbs, and there are unresolved mathematical steps in the proposed solutions. The discussion reflects varying levels of certainty regarding the probabilities involved.

eku_girl83
Messages
89
Reaction score
0
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!
 
Physics news on Phys.org
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.

[tex]\frac{\frac{4}{6}\binom{6}{4}\binom{8}{4}}{\binom{14}{8}}[/tex]but they might well be the same after simplifying
 
Last edited:
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.
 
Last edited:
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.
 

Similar threads

Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 29 ·
Replies
29
Views
8K
Replies
5
Views
3K
Replies
3
Views
3K
  • · Replies 10 ·
Replies
10
Views
9K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
7K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K