3. You are given a binomial random variable X, with parameters n = 8 and p...
X is a negative binomial random variable with parameters. r=1 and P(S)=p p=62/100. Show that the probability mass function for x is well defined. That it satisfies the requirement for any discrete pmf
3 (17') The random variable X obeys the distribution Binomial(n,p) with n=3, p=0.4. (a) Write Px(x), the PMF of X. Be sure to write the value of Px(x) for all x from - to too. (b) Sketch the graph of the PMF Px [2] (c) Find E[X], the expected value of X. (d) Find Var[X], the variance of X.
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,...
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10. If X is a binomial random variable with parameters n, 2, and Y is a Poisson rand om variable with parameter λ =np, then for 0 < k < n, (A) P(X = k) P(Y k) for large n (B) P(X = k) P(Y (C) P(X k) P(Y k) for small p = k) for large n and small p
Suppose that X is a random variable from a binomial distribution with parameters n=12 and p. Consider the point estimate p̂=X/14 1. what's the bias of this estimate? 2. what is the value of the mean square error of this estimate if the actual value of p is 0.735
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2. Suppose X is a binomial random variable with parameters p and N, where N is a Poisson random variable with parameter λ. Calculate Cov(X,N).
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.
A random variable X has binomial distribution with parameters n = 11 and theta = 0.28. P(X > 2) = ________________
If X is a binomial random variable with n = 8 and p = 0.2, the standard deviation of X is _________. a. 1.8218 b. 1.3026 c. 1.5675 d. 0.7926 e. 1.1314
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...