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Lostsunrise
2 months ago
8

You are given a bag of coins with varying biases.the probability of heads is a random variable sample from uniform distribution

u[0,1].you draw a coin from these bag and toss it 100 times what is the probability of getting 100 heads stackover flow
Mathematics
1 answer:
Inessa [12.5K]2 months ago
4 0

Answer:


Step-by-step explanation:




Imagine having a collection of n biased coins, and you draw m<n of them without replacement, subsequently measuring each coin i for its parameter pi∈[0,1], indicating that each coin behaves as Bernoulli(pi). Now, I am curious to determine the most probable pm+1 for the next coin I choose. The only method I can think of is calculating the average of the parameters of the m coins sampled thus far, which can be expressed as: p^m+1=p1+…+pmm.

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