Assume a sequence of independent trials, each with probability p of success. Use the Law of Large Numbers to show that the proportion of successes approaches p as the number of trials becomes large. It may be useful to think of this problem as a Bernoulli distribution and to then calculate the mean.
Assume a sequence of independent trials, each with probability p of success. Use the Law of...
Assume a sequence of independent trials, each with probability p of success. Use the Law of Large Numbers to show that the proportion of successes approaches p as the number of trials becomes large
Problem 1 Consider a sequence of n+m independent Bernoulli trials with probability of success p in each trial. Let N be the number of successes in the first n trials and let M be the number of successes in the remaining m trials. (a) Find the joint PMF of N and M, and the marginal PMFs of N and AM (b) Find the PMF for the total number of successes in the n +m trials. Problem 1 Consider a sequence...
You perform a sequence of m+n independent Bernoulli trials with success probability p between (0, 1). Let X denote the number of successes in the first m trials and Y be the number of successes in the last n trials. Find f(x|z) = P(X = x|X + Y = z). Show that this function of x, which will not depend on p, is a pmf in x with integer values in [max(0, z - n), min(z,m)]. Hint: the intersection of...
Problem 5 (10 points). Suppose that the independent Bernoulli trials each with success probability p, are performed independently until the first success occurs, Let Y be the number of trials that are failure. (1) Find the possible values of Y and the probability mass function of Y. (2) Use the relationship between Y and the random variable with a geometric distribution with parameter p to find E(Y) and Var(Y).
2. Suppose 4 Bernoulli trials, each with success probability p, are con ducted such that the outcomes of the 4 experiments pendent. Let the random variable X be the total number of successes over the 4 Bernoulli trials are mutually inde- (a) Write down the sample space for the experiment consisting of 4 Bernoulli trials (the sample space is all possible sequences of length 4 of successes and failures you may use the symbols S and F). (b) Give the...
Assume that a procedure yields a binomial distribution with n=6 trials and a probability of success of p=0.60. Use a binomial probability table to find the probability that the number of successes x is exactly 1.
trial. Consider n trials , each with probabılity of success p. Assume the trials are independent given p. Now, suppose p ~Beta(α, β), 2-1, , n. Recall that if X is a Beta r.v r@ + β) Ta r"-1 (1-2)β-1I(0 < x < 1), x(x - (1 α > 0,3 > 0 αβ E(X) = (a) Compute the expected value of the total number of successes. (b) Compute the variance of the total number of successes.
Suppose that total 5 independent trials having a common probability of success 1/3 are performed. If X is the number of successes in the first2 trials, and Y is the number of successes in the final 3 trials, then X and Y are independent, since knowing the number of successes in the first 2 trials does not affect the distribution of the number of successes in the final 3 trials (by the assumption of independent trials). Find the joint p.d.f....
Show that if X follows a binomial distribution with n, trials and probability of success p,-p,jz 1,2, Hint: Use the moment generating function of Bernoulli random variable) 1. , n and X, are independent then X, follows a binomial distribution.
Assume that a procedure ylelds a binomial distribution with n = 6 trials and a probability of success of p = 0.30. Use a binomial probability table to find the probability that the number of successes x is exactly 2 P(2)= _______ (Round to three decimal places as needed)