QUESTION 15
Let X be a nonnegative random variable (the possible values of X are all nonnegative numbers), and suppose E( X ) = 1, then, the probability that X takes a value greater than 5, cannot be
A. |
larger than 0.1. |
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B. |
larger than 0.2. |
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C. |
less than 0.2. |
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D. |
none of the above. |
QUESTION 16
Let X be any random variable, and E( X ) = 2, then, the probability that X takes a value greater than 10, cannot be
A. |
0.05. |
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B. |
0.1. |
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C. |
0.2. |
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D. |
none of the above. |
QUESTION 17
Let X1 and X2 be any two random variables, then E( Cov( X1, X2) ) =
A. |
X1 times X2, i.e., X1*X2. |
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B. |
X1 / X2. |
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C. |
Cov( X1, X2). |
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D. |
none of the above. |
QUESTION 15 Let X be a nonnegative random variable (the possible values of X are all...
7. For a discrete random variable, the set of possible values is a. an interval of real numbers. b. a set of numbers that is countable. c. a set of numbers that has a finite number of numbers. d. none of the above. 8. Let X be a continuous random variable, then P( X = 0) is a. 0.00001. b. zero. c. can be large in some random variable. d. none of the above. 9. For a discrete random variable,...
Let Ņ, X1. X2, . . . random variables over a probability space It is assumed that N takes nonnegative inteqer values. Let Zmax [X1, -. .XN! and W-min\X1,... ,XN Find the distribution function of Z and W, if it suppose N, X1, X2, are independent random variables and X,, have the same distribution function, F, and a) N-1 is a geometric random variable with parameter p (P(N-k), (k 1,2,.)) b) V - 1 is a Poisson random variable with...
Let X1 and X2 be any two random variables, then E( Cov( X1, X2) ) = A. X1 times X2, i.e., X1*X2. B. X1 / X2. C. Cov( X1, X2). D. none of the above
Let X1 and X2 be two discrete random variables, where X1 can attain values 1, 2, and 3, and X2 can attain values 2, 3 and 4. The joint probability mass function of these two random variables are given in the table below: X2 X1 2 3 4 1 0.05 0.04 0.06 2 0.1 0.15 0.2 3 0.2 0.1 0.1 a. Find the marginal probability mass functions fX1 (s) and fX2 (t). b. What is the expected values of X1...
Multiple Choice Question Let random variable X follows an exponential distribution with probability density function fx(x) = 0.5 exp(-x/2), x > 0. Suppose that {X1, ..., X81} is i.i.d random sample from distribution of X. Approximate the probability of P(X1 +...+X31 > 170). A. 0.67 B. 0.16 C. 0.33 D. 0.95 E. none of the preceding
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
Problem 3. Let X and Y be two independent random variables taking nonnegative integer values (a) Prove that for any nonnegative integer m 7m k=0 b) Suppose that X~ B (n, p) and Y ~ B(m. p), and X, Y are independent. What is the distribution of the random variable Z X + Y? (c) Prove the following formula for binomial coefficients: n\ _n + m for kmin (m, n) (d) Let X ~ B (n, 1/2). What is P...
between zero and one. Find the PDF of X+Y+Z 5. Let X be a random variable that takes nonnegative integer values, and is associated with a transform of the form 3- es where c is some scalar. Find EX], px (1), and E(XX # 0] between zero and one. Find the PDF of X+Y+Z 5. Let X be a random variable that takes nonnegative integer values, and is associated with a transform of the form 3- es where c is...
3. Let X be a continuous random variable defined on the interval 0, 4] with probability density function p(r) e(1 +4) (a) Find the value of c such that p(x) is a valid probability density function b) Find the probability that X is greater than 3 (c) If X is greater than 1, find the probability X is greater than 2 d) What is the probability that X is less than some number a, assuing 0<a<4?
6.33 Let x be a continuous random variable that is normally distributed with a mean of 25 and a standard deviation of 6. Find the probability that x assumes a value a. between 28 and 34 b. between 20 and 35 6.34 Let x be a continuous random variable that has a normal distribution with a mean of 30 and a stan- dard deviation of 2. Find the probability that x assumes a value a. between 29 and 35 b....