Problem 7 (15 points). Let X be random variable with the binomial distribution with parameters n...
Problem 4 (10 points). Let X be a binomial random variable with parameters n = 15 and p. (1) If p = 0.30, Find E(X + (n - X)). [Note that n-X is the number of failures). (2) Find p such that P(X = 6) is most probable. In other words, please find p = po such that P(X = 6) achieves at the maximum as a function of p at p = Po
Problem 5. Let X be a binomial random variable with parameters n and p. Suppose that we want to generate a random variable Y whose probability mass function is the same as the conditional mass function of X given X-k, for some k-n. Let a = P(X-k), and suppose that the value of a has been computed (a) Give the inverse transform method for generating Y. (b) Give a second method for generating Y (c) For what values of a,...
Let X be random variable with the binomial distribution with parameters n and 0 < p < 1. (1) Show that (P(X = x) / P(X = x -1)) - 1 = np + (p - x)) / (x(1-p)) for any 1 ≤ x ≤ n. (2) Show that when 0 ≤ x < (n + 1)p , P(X = x) is an increasing function x and for (n + 1)p < x ≤ n, P(X = x) is a...
Let X be a random variable that has a binomial distribution with n = 15 and probability of success p=0.87. What is P(X > 12)? Give your response to at least 3 decimal places. Number
Q 4. Let X has a binomial distribution with parameters n and 0. (a) For what value of 0 is the probability function of X a maximum? (b) Find the mean and variance of X.
Let M have a binomial distribution with parameters N and p. Conditioned on M, the random variable X has a binomial distribution with parameters M and (a) Determine the marginal distribution for X (b) Determine the covariance between X and Y M- X
Let X be a random variable, which has a binomial distribution with parameters n and p. It is known that E(X) = 12 and Var(X) = 4. Find n and p.
Problem 8 (10 points). Let X be the random variable with the geometric distribution with parameter 0 <p <1. (1) For any integer n > 0, find P(X >n). (2) Show that for any integers m > 0 and n > 0, P(X n + m X > m) = P(X>n) (This is called memoryless property since this conditional probability does not depend on m. Dobs inta T obabilita ndomlu abonn liaht bulb indofootin W
Problem 6: Suppose we observe a random variable X having a binomial distribution with parameters n and zp. (a) What is the generalized likelihood ratio for testing Ho : p-0.5 against H, : p* 0.5? (b) Show that a generalized likelihood ratio test rejects Ho when |X -n/2|2 c. (Hint: it may help to consider the logarithm of the generalized likelihood ratio.) (c) What is the significance level of the test when n 12 and c 5?
Problem 6: Suppose...
f(31–43 10.320.72 543 Computing Binomial Probabilities If X is a binomial random variable with parameters n and p, the probability distribution of Xis given by f(k) = P(X=k) = (pkan* for k =0, 1. , .,where q=1-p. Example: Suppose n = 5 and p = 0.3. Then q = 1 - p = 0.7, f(k)= 10.3)* (0.75% f(0)=C6 20.3)%0.7)-1-1-(0.16807)-0.16807. f(1)=( )(0,3)(0.7) 10.3)(0.2401) - 5(0.07203)0.36015 0 0.1681 f(2)=(3 10.3)2(0.73 (0.09)(0.343) – 10(0.03087)-0.30870 1 0.3602 0.027)(0.49) =10(0.01323)-0.132302 0.3087 f(4)=( )(0.3)*(0.7) (0.0081)(0.7) -5(0.00567)=0.0284...