Combinatorial Problem: Analyzing Training Selection for 9 Analysts

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SUMMARY

The discussion centers on a combinatorial problem involving the selection of 9 analysts for varying training durations: 2 weeks, 3 weeks, and 5 weeks. The original selection method employs combinations without repetition, specifically C(9,3) for the first group, C(6,3) for the second, and C(3,3) for the last. The user, HF08, explores the implications of introducing permutations with repetitions in a modified scenario where analysts can be selected multiple times. The conversation highlights the need for clarity in calculating probabilities and understanding the principles of combinatorics.

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  • Understanding of combinatorial mathematics, specifically combinations and permutations.
  • Familiarity with the concept of probability in statistical analysis.
  • Basic knowledge of linear regression models.
  • Ability to apply combinatorial formulas such as C(n, k).
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  • Study the principles of combinatorial mathematics, focusing on combinations and permutations.
  • Learn how to calculate probabilities in scenarios involving multiple selections.
  • Explore linear regression models and their applications in statistical analysis.
  • Practice solving combinatorial problems using real-world examples.
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This discussion is beneficial for statisticians, data analysts, and students studying combinatorial mathematics or probability theory, particularly those interested in practical applications of these concepts in training selection scenarios.

HF08
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Hi,

I was reading a models book and read about a study where 9 analysts were chosen at random. Out of this group, 3 were selected for 2 week training, 3 were selected for 3 week training, and 3 were selected for 5 week training. Now I believe this models course had the idea that the first group woud be 9 choose 3. The second, 6 choose 3, and the last one 3 choose 3. I decided to ask myself a question.

This was a linear regression model type problem, but I couldn't help wondering how it would stink if you had to train for 2, 3, and 5 weeks. That is, a total of 10 weeks. So, I am going to ask the following:

Assume you could end up training for 2, 3, and 5 weeks. What is the chance you would be unlucky that they would make you study for 2 weeks, 3 weeks, and 5 weeks? What is the probability that you would be chosen for no weeks given this scenario? Also, what is a way I could say, you were chosen to train for 2 and 5 weeks, but not 3 weeks?

Thanks,
HF08
 
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So the original problem is about combinatorics without repetitions, while the new one is a combination of no repetitions, and permutation with repetitions. It's like drawing balls from a vase: in the original problem, each successive draw is taken from the remaining balls; in your new problem, you put each ball back in the vase before picking the new one (which introduces a chance of picking the same ball again).

It's basically like three separate draws without repetition (apply the combinatorics of the original question) for each training course (2, 3 and 5 weeks).
 
CompuChip said:
So the original problem is about combinatorics without repetitions, while the new one is a combination of no repetitions, and permutation with repetitions. It's like drawing balls from a vase: in the original problem, each successive draw is taken from the remaining balls; in your new problem, you put each ball back in the vase before picking the new one (which introduces a chance of picking the same ball again).

It's basically like three separate draws without repetition (apply the combinatorics of the original question) for each training course (2, 3 and 5 weeks).


Let's work on the 2 weeks without replacement. There are C(9,3) ways to take out 3 people from a group of 9. This is where I get stuck. How can I calculate the odds of an individual being picked as 1 of 3 for the 2nd week?

I have difficulty with understanding combinatorics/permutations. So your help my own question as well as resources to read would be appreciated.

Thanks,
HF08
 

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