Find the expected value of the probability density function to the nearest hundredth. f(x) = 3:...
Find the expected value of the probability density function to the nearest hundredth. 1 f(x) = 3; [3, 6) O A. 4.17 B. 4.50 O C. 4.00 OD. 5.00
Find the expected value of the probability density function to the nearest hundredth. х 1 f(x) --- [2, 6] 8 4 O A. 5.00 B. 4.33 O C. 4.67 D. 4.00
Find the standard deviation for the given probability distribution. Round to the nearest hundredth. X P(x) 0 0.09 10.34 20.23 30.12 4. 0.22 O A. o = 1.70 OB. o = 1.30 O C. o = 1.34
Find the expected value for the random variable x whose probability function graph is displayed here. What is the expected value of the random variable? Find the expected value for the random variable x whose probability function graph is displayed here. ULL 0 1 2 3 4 5 What is the expected value of the random variable? (Round to the nearest hundredth as needed.)
7. For the probability density function f(x) = for 0 <<<2 (a) Find P(x < 1) (b) Find the expected value. (c) Find the variance.
Given the probability density function f(x)=14f(x)=14 over the interval [3,7][3,7], find the expected value, the mean, the variance and the standard deviation. Expected value: Mean: Variance: Standard Deviation:
Find the expected value for the random variable x whose probability function graph is displayed here 02 2 33 What is the expected value of the random variable? (Round to the nearest hundredth as needed)
Let X have probability density function f(2)= k(1+x) -3 for 0 < x < oo and f(x) = 0 elsewhere. a. Find the constant k and Find the c.d.f. of X. b. Find the expected value and the variance of X. Are both well defined? c. Suppose you are required to generate a random variable X with the probability density function f(x). You have available to you a computer program that will generate a random variable U having a U[0,...
2. Let X and Y be continuous random variables with joint probability density function fx,y(x,y) 0, otherwise (a) Compute the value of k that will make f(x, y) a legitimate joint probability density function. Use f(x.y) with that value of k as the joint probability density function of X, Y in parts (b),(c).(d),(e (b) Find the probability density functions of X and Y. (c) Find the expected values of X, Y and XY (d) Compute the covariance Cov(X,Y) of X...
Find the mean and standard deviation of the specified probability density function. f(x) = 001 - for [12, 20] O A. u = 15, o = 2.31 B. u = 1.6, o = 2.29 O c. u = 16, o = 2.31 OD. u = 15.5, o = 2.28