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Bayes’ Rule for Random Variables Review

Dr. Dogucu

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Exercise

Let proportion of women in the U.S. who develop breast cancer in their lifetime be π. Even though π can take any value between 0 and 1, for the purposes of this question, we will assume possible values of π as 0.05, 0.10, 0.30, and 0.50. Since we do not have any medical doctors in our class, we will pretend that we do not have any specific prior ideas about breast cancer and choose a uniform prior. We look at medical records of 8 women who have passed and 1 of them had developed breast cancer at some point in their life. Calculate the posterior distribution for π.

2 / 2

Exercise

Let proportion of women in the U.S. who develop breast cancer in their lifetime be π. Even though π can take any value between 0 and 1, for the purposes of this question, we will assume possible values of π as 0.05, 0.10, 0.30, and 0.50. Since we do not have any medical doctors in our class, we will pretend that we do not have any specific prior ideas about breast cancer and choose a uniform prior. We look at medical records of 8 women who have passed and 1 of them had developed breast cancer at some point in their life. Calculate the posterior distribution for π.

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