Probability maximum value of samples from different distributions
Assume you are sampling values at random from two normal distributions, Distribution A and Distribution B. Both distributions have the same standard deviation σ but slightly different means $\mu_A$ and $\mu_B$, where $\mu_A>\mu_B$. Let $\delta_\mu = \mu_A-\mu_B$.
You're drawing a total of n samples from these two distribution: q samples from A, and n-q from B. What is the probability that the largest value among the n samples came from Distribution A? Please explain your steps. Assume n is finite and relatively small (<100). Verify your results by calculating the probability that the largest sample comes from A for the following parameters: $n = 6, q = [1,2,3,4,5], \mu_A=1001$ and $\mu_B=1000$, and $\sigma=10$.
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Answer
The answer is accepted.
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Hey there- I'm working on the answer, but wanted to clarify that n represents the total sample size between the two distributions?
Yes, that is what n represents.
Thanks