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Question 3 (5101) Suppose that N ~ Poisson(A), and that X has a conditional distribution that...
Question 3 (5101) Suppose that N ~ Poisson(2), and that X has a conditional distribution that depends on N. There are two possible models for this conditional distribution: • Model M: X|N=n~ N(2*n, 02 = 1) • Model M2: X|N=n~ N(2+n + n2,02 = 1) The only difference between M, and M2 is the conditional mean function - the mean function is linear in M, and quadratic in M2. a If M is true: Find E(X) and V. [X] as...
Suppose that N ~ Poisson(1), and that X has a conditional distribution that depends on N. There are two possible models for this conditional distribution: • Model M1: X|N = n ~ N(2* n,o2 = 1) • Model M2: X|N = n ~ N(2*n+n2,02 = 1) The only difference between My and M2 is the conditional mean function - the mean function is linear in M1 and quadratic in M2. a If M1 is true: Find E1[X] and V1[X] as...
Question 14: Suppose that, conditional on N, X has a Binomial distribution with N trials and probability of success p, and that N, itself, is a Binomial distribution with m trials and probability of success r. Find b. The conditional distribution of given X-x.
4. Suppose that N is a random variable having a conditional Poisson distribution with ability mass function prob- 1 (log 3) PN(i) i 1,2,3,... 2 i (a) Show that the mean of N is 3 log 3 1.6479, 2 and the variance of N is 3(log 3)2 3 log 3 0.7427. 2 4 (b) Calculate the probability P(N -4I 20). (c) Use the Bienaymé-Chebyshev inequality to give a lower bound for the probability that N takes values within 2 standard...
2. (a) Given that N-n, the conditional distribution of Y is x The unconditional distribution of N is Poisson (8). Calculate E(Y) and Var(Y). (b) A plant supervisor is interested in budgeting weekly repair costs for a certain type of machine. Records over the past years indicate that these repair cost have an exponential distribution with mean 20 for each machine studied. Let Y1, Y2, ..., Ysdenote the repair costs for five of these machines for the next week. Find...
3. Suppose that X has a Poisson distribution with mean μ=15. Use the 'cdf' command MTB > cdf; SUBC 〉 poisson 15. Find PX 〈 10)-[3] and P(15 X 20)= [3] 4. Suppose that Y has a hypergeometric distribution with parameters N = 20, M = 6, and n = 4, Use the command MTB > cdf 3; hypergeometric 20 6 4. a. [3] to find P(Y 53) = b. 3) Use the similar command to find P(Y > 2)...
Suppose that X 1 has a Poisson distribution with mean 2, X 2has a Poisson distribution with mean 3 , X 3 has a Poisson distribution with mean 5 and that X 1 , X 2 and X 3 are independent. Define Y = X 1 + X 2 + X 3. Determine the moment-generating function for Y.
1) Suppose x has a Poisson probability distribution with mean 4.84. Find standard deviation. 2)Assume that x has a Poisson probability distribution. Find P(x = 6) when population mean is 1.0. 3)Assume that x has a Poisson probability distribution. Find P(x < 3) when population mean is 4.5
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is r E 0,1,2,...) This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a) Prove by direct computation that the mean of...
1. Suppose that Yi = Bo + B1Xi + €¡ where ; is N(0,0.6), Bo = 2 and 31 = 1. (a) What are the conditional mean and standard deviation of Yị given that Xi = 1? What is P(Yi < 3|X; = 1)? (b) A regression model is a model for the conditional distribution of Yị given Xị. However, if we also have a model for the marginal distribution of X; then we can find the marginal distribution of...