The inhabitants of a city develop skin cancer at an approximate rate A. For those people who have developed skin cancer, some proportion p E (0, 1) will die from the disease. Assume a simple model...


The inhabitants of a city develop skin cancer at an approximate rate A. For those<br>people who have developed skin cancer, some proportion p E (0, 1) will die from the<br>disease.<br>Assume a simple model such that n, the number of people who develop skin cancer, is<br>distributed Poisson(A). Let X denote the people who die from skin cancer in this city.<br>Then, assuming that every cancer patient is independent of the others, and that the<br>proportion p is constant:<br>n ~ Poisson(X)<br>X\n - Binomial(n, p)<br>Question 5:<br>What is the distribution of n X?<br>n – X|X<br>~ Binomial<br>X(1-p)<br>1- p<br>We do not have enough information to answer this question.<br>n|X<br>Poisson(Xp)<br>On - X|X ~ Poisson(A(1 – p)<br>1<br>for n > x<br>n|X ~ fn|x (n|x) =<br>n!<br>1- Di-o<br>i!<br>0.w.<br>

Extracted text: The inhabitants of a city develop skin cancer at an approximate rate A. For those people who have developed skin cancer, some proportion p E (0, 1) will die from the disease. Assume a simple model such that n, the number of people who develop skin cancer, is distributed Poisson(A). Let X denote the people who die from skin cancer in this city. Then, assuming that every cancer patient is independent of the others, and that the proportion p is constant: n ~ Poisson(X) X\n - Binomial(n, p) Question 5: What is the distribution of n X? n – X|X ~ Binomial X(1-p) 1- p We do not have enough information to answer this question. n|X Poisson(Xp) On - X|X ~ Poisson(A(1 – p) 1 for n > x n|X ~ fn|x (n|x) = n! 1- Di-o i! 0.w.

Jun 11, 2022
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