(3) (6 points) Suppose that X is a random variable having possible values and 1. Suppose...
4. Suppose that X is a random variable having the following probability distri- bution function - 0 if r<1 1/2 if 1 x <3 1 if z 2 6 (a) Find the probability mass function of X. (b) Find the mathematical expectation and the variance of X (c) Find P(4 X < 6) and P(1 < X < 6). (d) Find E(3x -6X2) and Var(3X-4).
2. For a discrete random variable X, with CDF F(X), it is possible to show that P(a < X S b)-F(b) - F(a), for a 3 b. This is a useful fact for finding the probabil- ity that a random variable falls within a certain range. In particular, let X be a random variable with pmf p( 2 tor c-1,2 a. Find the CDF of X b. Find P(X X 5). c. Find P(X> 4). 3. Let X be a...
1) [15 pts.] Let Z be a discrete random variable having possible values 0, 1,2, and 3 and probability mass function p(0)-1/4, p(1) =1/2, p(2)-1/8, p(3) =1/8. (a) Plot the corresponding (cumulative) distribution function. (b) Determine the mean ETZ. (e) Evaluate the variance Var(Z)
Suppose X is a continuous random variable having pdf (1+x, -1 < x < 0, f(x) = { 1 – x, 0 < x <1, lo, otherwise (a) Find E(X2). (b) Find Var(X2).
Answer the following questions: (a) Suppose X is a uniform random variable with values 1, 2, 3, and 4. Then, 1) P(X = 3) = (correct to 2 decimal). 2) P(X S 3) = (correct to 2 decimal) 3) P(X > 3) = (correct to 2 decimal) 4) P(2 < X < 4) = (correct to 1 decimal) (b) Suppose Y is a random variable having Binomial distribution with parameters n = 10 and p = 0.5. Find (1) P(Y...
Problem(3) (6 points) Consider the random variable X whose density is given by p(z) - ksin(x) ST (a) (1 pt) Find the value k so that p(x) is a probability density function. (b) (3 pts) Find E(X) and E(X2) Var(X) and Var(-tX) (d) (2 pts) Find ơ2
Q5(3). Suppose there is random variable X, whose PDF is (10 points, 2 for each): 1x-2)2 a) What is the name of the distribution of X b) E(2X+1)- c) Var(2X +1)- d) Find the constant x such that P(X > x) = 0.05 e) What is the distribution of 2X?
Suppose X is a random variable taking on possible values 1,2,3 with respective probabilities.4, .5, and .1. Y is a random variable independent from X taking on possible values 2,3,4 with respective probabilities .3,.3, and 4. Use R to determine the following. a) Find the probability P(X*Y = 4) b) Find the expected value of X. c) Find the standard deviation of X. d) Find the expected value of Y. e) Find the standard deviation of Y. f) Find the...
(3 points): Suppose a random variable, x, arises from a binomial experiment. If n = 6, and p = 0.30, find the following probabilities (it is acceptable to use some form of technology such as web applet, Excel, calculator, etc.). a.) P(x = 1) b.) P(x = 5) c.) P(x = 3) d.) P(x ≤ 3) e.) P(x ≥ 5) f.) P(x≤4)
Problem 3. Suppose that the cumulative distribution function of a random variable X is given by (o if b < 0 | 1/3 ifo<b<1B 2/3 if isb<2 2.9 1 if2 Sb. 3.9 (a) Find P(X S 3/2). (b) Find E(X) and Var(X). 4.10