#Probability Question
28 messages · Page 1 of 1 (latest)
The idea I have for it is just to convert it into one machine
11 times with 0.1 expected value + 6 times with 0.05 expected value => 1.4 expected value with 17 times
So a machine with (140/17)% success rate per roll should have the same expected value as the 2 machines listed in the question combined but I dont think would have the same probability of getting exactly 7 successes (for example, a machine that does the first 3 rolls at 100% success rate and the last 3 rolls at 0% success rate versus a machine that does 6 rolls at 50% success rate have the same expected value but different probability to get 3 successes or 4 successes)
I mean if nothing else you can calculate with binomial distribution for all possible scenarios like 1 and 6, 2 and 5, 3 and 4, 4 and 3, 5 and 2, 6 and 1, 7 and 0
Thats sounds managable
Damn I only learnt the basics for that not how to calculate it for more complex questions
it came out to about 1.9446+10^-4 for me
either way just used this and summed it up in my calculator
Thats a high school level prob
I mean if you encounter something like this than you probably learned this?
Have you not seen this before?
This seems like an oversimplification and will probably yield wildly different numbers
okay maybe not that wild
it was about 10% off
Either way you cant combine them
And even if you did I still had to use that
Nah I just think of the question myself
I want to make my own math exam and is trying to think of a problem for probability
I've just entered high school this year lol
See, well the binomial distribution is fairly simple
If it's just 1 thing then I can just subtract the probability of getting atleast 7 by the probability of getting atleast 8
its just the probability of success^successes and the probability af failure^failures times the ways it can happen
I mean P(atleast 7) - P(atleast 8) = P(7)
but how do you get those probabilites?
Good job!