Problem 2. (a) Consider a random variable X E {1,2,...,n}. Show that (i) µ(X) >0 (ii) o(X) > 0 for all possible probability distributions p = (px(1), px(2), px (3), ...,px (n)). (b) Consider Y ={±1,±2,...,±n/2}. State a probability distribution that satisfies µ(Y) < 0.
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- Problem 7: Let X be a continuous random variable with the probability density for f(x) = 3x2 values of x in [0,1], and f(x) = 0 elsewhere. Compute the expected value and variance of X.Problem 3: Let X be the discrete random variable with the following probability mass function: x 0 1 2 3 f (x) 0.5 0.3 0.1 0.1 Find the value of the cumulative distribution function F(2).Find the cumulative distribution function of the random variable X representing the number of defectives in Problem #5. Then using F(x), find (a) P(X = 1); (b) P(0 < X ≤ 2).
- J 1 Problem 126. Let X and Y be discrete random variables with joint probability mass function pX,Y (x, y) = C/[(x + y − 1)(x + y)(x + y + 1)], x, y = 1, 2, 3, . . . Determine the marginal mass functions of X and YQUESTION 12 If an experiment with a random outcome is repeated a LARGE OR SMALLL number of times, the empirical probability of an event is likely to be close to the true probability due to the THE LAW OF LARGE NUMBER OR THE CENTRAL LIMIT THEOREMProblem 1Let X be a discrete random variable with the following PMF.
- Problem 1. A continuous random variable X is defined by f(x)=(3+x)^2/16 -3 ≤ x ≤ -1 =(6-2x^2)/16 -1 ≤ x ≤ 1 =(3-x^2)/16 -1 ≤ x ≤ 3 a)Verify that f(x) is density. b)Find the MeanQUESTION 3 TABLE 2 shows the probability distribution of X number of new handphone sold per day at a cellular phone company kiosk. TABLE 2 X 6 7 8 9 10 11 12 13 14 0.03 0.08 0.15 0.20 0.19 0.16 0.10 0.07 0.02 A) Show that the above distribution is a probability distribution of the random variable X. B) Find the probability that the worker at the kiosk to sell at least 10 new handphones per day. C ) Is it possible for the worker at the kiosk to sell more than 14 new handphones? Justify your answer. D )Draw a graph for the probability of distribution of X. E )Calculate the expected number of new handphones to be sold per day. Interpret the result. F )Compute the standard deviation of new handphones to be sold per day.Problems 5 and 6 refer to the discrete random variables X and Y whose joint distribution is given in the following table, so P(X = 1 and Y = -1) = 1/4, P(X = 1 and Y = 1) = 0, etc. Problem 5: Compute the marginal distributions of X and Y, and use these to compute E(X), E(Y), Var(X), and V ar(Y). Problem 6: Compute Cov(X, Y) and the correlation ρ for the random variables X and Y. Are X and Y independent? Y= -1 Y =0 Y =1 X =1 1/4 1/8 0 X =2 1/16 1/16 1/8 X =3 1/16 1/16 1/4
- If Y is a discrete random variable with possible values of 1, 2, and 4, and the probability mass function is given by P(Y = 1) = 0.2, P(Y = 2) = 0.5, and P(Y = 4) = 0.3, what is the variance of Y?(TRUE / FALSE) For two random variables, X and Y , E(XY ) = E(X)E(Y ) if X and Y are uncorrelated.J 2 10. Airlines routinely overbook flights to help lower the number of empty seats on their airplanes in order to increase profits. In the year 2005, the no-show rate was estimated to be 12%, with 88% of passengers with tickets actually showing up to take the flight. Suppose an airplane has 25 seats, and that the airline has sold 27 tickets. What is the probability that there will not be enough seats? 11. Referring to the no-show rates from Problem 10, out of 27 tickets sold, what are the mean and standard deviation for the number of people that show up to take the flight need answer for 11!