rynofrowan
New member
- Joined
- Sep 6, 2017
- Messages
- 1
probability theory that's been driving me nuts
1. we have 38 balls (not equally weighted)
2. from previous data we are given probability a ball is chosen (column B)
3. choose 6 balls (without replacement)
4. what is the probability that all 6 of them are a subset of the top 10 most likely balls (labelled in column D)?
i can solve using brute force, but want to know if it's possible analytically. ie to scale for any n number of balls
may be really easy...just winding me up now and can't figure
1. we have 38 balls (not equally weighted)
2. from previous data we are given probability a ball is chosen (column B)
3. choose 6 balls (without replacement)
4. what is the probability that all 6 of them are a subset of the top 10 most likely balls (labelled in column D)?
i can solve using brute force, but want to know if it's possible analytically. ie to scale for any n number of balls
may be really easy...just winding me up now and can't figure
Last edited by a moderator: