Let X be exponentially distributed with parameter 3.
a) Compute P(X > 6 | X > 2).
b) Compute E(7e-12x+8+ 5).
c) Let Y be independent from X. Suppose the PDF for Y is f(x) = 2x for 0 ≤ x ≤ 1 (and 0 else). Find the PDF of X + Y.
![- Page 11 I Page 1 Cheag ga). Xu Exp (3). ☆ tx) of 3e 3x aro Yo, otheodorce. : PEx>6/872] =P [X>60x72] P[x2]. =P[x>6] P[X72].](http://img.homeworklib.com/questions/25c797c0-c776-11eb-a391-f35d81c0012b.png?x-oss-process=image/resize,w_560)
![I PAGE 2 I tehasot Page 2 -stit = 36 ) [230] -= 0-72-]= xe-a-1= (x2 Cara-1-1=[22x19LXd Gisa Del e - 6 . =é 18+6– 12 – 6.14421](http://img.homeworklib.com/questions/26941c90-c776-11eb-81d2-fb1d93c74482.png?x-oss-process=image/resize,w_560)
![PASES I Page 3 Cheaal $ ca P[x76\x72J = 6.144212353x10-6 =0.000006144212 353 So I Le 12*+*+5]. E le 12te] +5. - Fietus blandi](http://img.homeworklib.com/questions/27390550-c776-11eb-ad79-8160201e7b41.png?x-oss-process=image/resize,w_560)
![PASES I Page 3 Cheaal $ ca P[x76\x72J = 6.144212353x10-6 =0.000006144212 353 So I Le 12*+*+5]. E le 12te] +5. - Fietus blandi](http://img.homeworklib.com/questions/27daf220-c776-11eb-ac41-5f4e06adf846.png?x-oss-process=image/resize,w_560)

![I Page 5 Page 5 - Cheap 9002 E le 2x+8+5] 54178.341182. Let us de tine U = aty. osy. . » na uro yao Noot (4,0) blacy) lJ. whe](http://img.homeworklib.com/questions/28e3da40-c776-11eb-bd8f-d326513045b6.png?x-oss-process=image/resize,w_560)
![Page 6 - Cheap I T Page 6] . 6 (4,9)= 3е зи-) 2 Поо аmе o6 49- с. .: + 4) = (+) до 3r dur - Зее 2 | e = Be-34 Г. re — ве за Г](http://img.homeworklib.com/questions/296dfdc0-c776-11eb-864e-732f0012b0c3.png?x-oss-process=image/resize,w_560)
![I PAGE 7 chega] I Page 1 och, = 6e-29 Pēs (44)– (+)] = 6e-34 [es lot] = Ben Bu (102-1). t(x+4)= (14)= 2e 34 (10031) 3 3 for l](http://img.homeworklib.com/questions/2a156b60-c776-11eb-b3fc-671b6a7ea9a6.png?x-oss-process=image/resize,w_560)
Let X be exponentially distributed with parameter 3. a) Compute P(X > 6 | X >...
I. Let Y be an exponentially distributed random variable with parameter λ Compute the cdf and the pdf for the random variable X-e
2. Let X be an exponentially distributed random variable with parameter 1 = 2. Determine P(X > 4). 3. Let X be a continuous random variable that only takes on values in the interval [0, 1]. The cumulative distribution function of X is given by: F(x) = 2x² – x4 for 0 sxsl. (1) (a) How do we know F(x) is a valid cumulative distribution function? (b) Use F(x) to compute P(i sX så)? (c) What is the probability density...
Suppose that X is exponentially distributed with parameter 1 and let Y = µ −1X, where µ > 0 is a positive constant. Find the cumulative distribution function and the density of Y and use this to conclude that Y is exponentially distributed with parameter µ.
If X is uniformly distributed over (0,2) and Y is exponentially distributed with parameter λ = 2. Also X and Y are independent, find the PDF of Z = X+Y.
1. Consider a time T of a call duration. If it rains (under the event T is exponentially distributed with the parameter À-1/6. If it does not rain (under the event F), T is exponentially distributed with the parameter λ 1/2 The percentage of raining time is 0.3 (a) Find the PDF of Tand the expected value ET]. (b) Find the PDF of T given that B [T 6] 2. Random variables X and Yhave the joint PDF otherwise (a)...
Question 3 [17 marks] The random variable X is distributed exponentially with parameter A i.e. X~ Exp(A), so that its probability density function (pdf) of X is SO e /A fx(x) | 0, (2) (a) Let Y log(X. When A = 1, (i) Show that the pdf of Y is fr(y) = e (u+e-") (ii) Derive the moment generating function of Y, My(t), and give the values of t such that My(t) is well defined. (b) Suppose that Xi, i...
3. Suppose that X and Y are independent exponentially distributed random variables with parameter λ, and further suppose that U is a uniformly distributed random variable between 0 and 1 that is independent from X and Y. Calculate Pr(X<U< Y) and estimate numerically (based on a visual plot, for example) the value of λ that maximizes this probability.
Consider an exponentially distributed random variable X with pdf f(x) = 2e−2x for x ≥ 0. Let Y = √X. a. Find the cdf for Y. b. Find the pdf for Y. c. Find E[Y]. If you want to skip a difficult integration by parts, make a substitution and look for a Gamma pdf. d. This Y is actually a commonly used continuous distribution. Can you name it and identify its parameters? e. Suppose that X is exponentially distributed with...
5. A light bulb has a lifetime that is exponentially distributed with rate parameter λ-5. Let L be a random variable denoting the sum of the lifetimes of 50 such bulbs. Assume that the bulbs are independent. (a) Compute E[L] and Var(L). b) Use the Central Limit Theorem to approximate P(8 < L < 12 ( ). (c) Use the Central Limit Theorem to find an interval (a,b), centered at ELLI, such that Pa KL b) 0.95. That is, your...
(iv) Let X be exponentially distributed with parameter 1 and let Y be uniformly distributed in the interval [0, 1]. Using convolution, find the probability distribution function of