Problem 3. The random variable X has density function f given by y, for 0 ys...
Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that 6 0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4 <X < 0.8)
Problem 3. The random variable X has density function f given by 0,elsewhere (a) Assuming that θ-0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4sX s 0.8)
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Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that θ 0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4SX 0.8)
b) Find the proDa D111ty distri Dution or the random varıa Die Λ1 + Λ2 on ofr the random varlable A1+A2 Problem 3. The random variable X has density function f given by @y2, for 0 y θ 0, elsewhere a) Assuming that - 0.8, determine K (b) Find Fx(t), the c.d.f. of X C) Calculate P(0.4SX 0.8)
Problem 2. Suppose the sample space S consists of the four points and the associated probabilities over the events are given by P(cu 1)-0.2, P(ω2)-0.3, P(ag)-0.1, P(04)-0.4 Define the random variable X1 by and the random variable X2 by X2(2) 5, (a) Find the probability distribution of X1 (b) Find the probability distribution of the random variable X1 +X2 Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that 0.8, determine K (b)...
1. Consider a continuous random variable X with the probability density function Sx(x) = 3<x<7, zero elsewhere. a) Find the value of C that makes fx(x) a valid probability density function. b) Find the cumulative distribution function of X, Fx(x). "Hint”: To double-check your answer: should be Fx(3)=0, Fx(7)=1. 1. con (continued) Consider Y=g(x)- 20 100 X 2 + Find the support (the range of possible values) of the probability distribution of Y. d) Use part (b) and the c.d.f....
4. The random variable X has probability density function f(x) given by f(x) = { k(2- T L k(2 - x) if 0 sxs 2 0 otherwise Determine i. the value of k. ii. P(0.7 sX s 1.2) iii. the 90th percentile of X.
Assume that the density function for a continuous random variable, Y, is defined as fY(y) = 9y. exp(-3y) for (y>0) and f'(y) = 0 elsewhere. Given Y = y, the conditional C.D.F. for X is FX\Y (x\Y) =P[X 5 X Y = y) = 1 – exp(-x •y) for (x > 0). Questions below are related to the marginal distribution for X. 1. Derive the density, f* (x). 2. Evaluate the expectation, E(X)
Given that the random variable X has density function 7. 2x, 0<x <a f(a)-t o, otherwise a) Determine a. Find. P (2 < X < 4) and P (-2 < X < 2 b) Determine the parameter A in PDF given by the formula: f(x) -AeAt. Calculate the probabilities given in the above intervals of x
Given that the random variable X has density function 7. 2x, 0
2.5.6. The probability density function of a random variable X is given by f(x) 0, otherwise. (a) Find c (b) Find the distribution function Fx) (c) Compute P(l <X<3)