1. X∼Bernoulli(p). Find E(X).
2. For each of the following random variables, find, P(2<X≤ 6) and P(X > 5|X < 8)
a. X∼Geometric(0.15)
b. X∼Binomial(10,0.1)
c. X∼Hypergeometric(12,10,10)
3. Births in a hospital occur randomly at an average rate of 1.8 births per hour.
a. What is the probability of observing 4 births in a given hour at the hospital?
b. What about the probability of observing more than or equal to 2 births in a given hour at the hospital?
c. What is the probability that we observe 5 births in a given 2 hour interval?
1. Here X∼Bernoulli(p).
We know for Bernoulli distribution, X= 0,1
and P(x) = px (1-p)1-x
Now




1. X∼Bernoulli(p). Find E(X). 2. For each of the following random variables, find, P(2<X≤ 6) and...
For each of the following random variables, find, P(2<X≤ 6) and P(X > 5|X < 8) a. X∼Geometric(0.15) b. X∼Binomial(10,.1) c. X∼Hypergeometric(12,10,10)
4. Births in a hospital occur randomly at an average rate of 1.8 births per hour. Let X be the number of births in a given hour. (a) Using λ = 1.8, calculate the probability two births in a given hour P(X = 3). (b) What is the probability of observing more than 2 births in a given hour P(X ≥ 2). (hint: the sum of all probabilities is 1.) (c) Calculate E(X) (d) What does this expectation represent? (e)...
5. Given the following types of random variables: Bernoulli, Geometric, Binomial, and Poisson ple where each distribution c b. Make MATLAB plots of examples of PMF for each of these distributions. c. Make MATLAB plots of the four CDFs d. Calculate the first three moments and the variance of a Bernoulli random variable e. Calculate the expected values of a Geometric random variable and a Poisson random variable.
5. Given the following types of random variables: Bernoulli, Geometric, Binomial, and...
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7, of all snowfalls in New Yok, 590 are heavy. After a heavy snowfall, school are closed 67% of the time. After a light snowfall, school are closed 3% of the time. a. (3 pts) Draw a table or a tree diagram? b. (3 pts) Find the probability that school is closed given that it was a heavy snowfall? c. (2 pts) Find the probability that school is open? 8. You sell sandwiches. 70% of...
Let X and Y be two independent Bernoulli( 1/2 ) random variables. Define random variables U and V by U = X + Y and V = | (X - Y) | (abs. value)): (a) Find the joint probability mass function of (U, V ). Hints: note that U and V are taking integer values in {0, 1, 2} and {0, 1}, respectively. (b) Determine the covariance Cov(U, V ): (c) Find Var(U), Var(V ) and determine the correlation coeffcient p(U,...
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9. Births in a hospital occur randomly at an average rate of 1.8 births per hour. process is a Poisson random variable. Assume that birth (3 pts) What about the probability of observing more than or equal to 2 births in a given hour at the hospital? b. e opo Wahat he probabiliy h dly 10 biths n day t d. What is the expected number of births in two hours? 10. Suppose that on...
1. Derive the exact distribution to test the independence for the 2 x 2 contingency table Response 1 n1 n12 n1+ 2 n21 n22 n2+ +1 m+2 The hypergeometric distribution can be used to find the probability of observing a particular 2x2 table under independence . In the independent binomial model, we observe two random variables, Nu and N21 . We use the observed values n1u and n21 to compare the respective probabilities of success, π1 and π2 . The...
(19) For the following discrete randon variables, find m1, m2, and σ (a) Bernoulli (b) Binomial (c) Poisson (d) Geometric (20) For the following continuous random variables, find m1, m2, and σ2 (a) Uniform (b) Exponential (c) Gamma (d) Normal (e) Cauchy. .G (f) Pareto/Zeta" The answers to the above two problems can be found in a great man places. For example, in your book i get answers, but be able to calculate them n Appendix A. The point is...
Problem 4 Let X and y be independent Poisson(A) and Poisson(A2) random variables, respectively. i. Write an expression for the PMF of Z -X + Y. i.e.. pz[n] for all possible n. ii. Write an expression for the conditional PMF of X given that Z-n, i.e.. pxjz[kn for all possible k. Which random variable has the same PMF, i.e., is this PMF that of a Bernoulli, binomial, Poisson, geometric, or uniform random variable (which assumes all possible values with equal...
Suppose X and Y are independent Binomial random variables, each with n=3 and p=9/10. a. Find the probability that X and Y are equal, i.e., find P(X=Y). b. Find the probability that X is strictly larger than Y, i.e., find P(X>Y). c. Find the probability that Y is strictly larger than X, i.e., find P(Y>X).