Emily has a coin with P(H) = pi and Pete has a coin with P(H) = P2. Emily tosses her coin n times, and denote the number of head
s by X. Now Pete tosses his coin X times. What should be the distribution of the number of heads that Pete gets? Try to answer this question from two different approaches.
(a) Answer this question by constructing suitable binomial experiments.
(b) Answer this question by direct calculation. This is a challenging task. Hint: Try to use the binomial expansion xkym-k = (x + y)", k k=o. which holds for ALL positive integers m and real numbers x, y.
(a) Answer this question by constructing suitable binomial experiments.
(b) Answer this question by direct calculation. This is a challenging task. Hint: Try to use the binomial expansion xkym-k = (x + y)", k k=o. which holds for ALL positive integers m and real numbers x, y.
1 answer:
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Answer:
Bayes’ Theorem describes the probability of occurrence of an event related to any condition. It is also considered for the case of conditional probability.
For prove refer to the attachment.
Hope this helps you^_^
