a)
b)
pdf =f(X)=(d/dx)*F(X)=(d/dx)*(1-e-x^2) =2xe-x^2 for x>=0
c)
P(X<=0.4) =1-e-0.4^2 =0.1479
d)
P(X>2)= 1-e-2^2 =0.0183
Problem 3: The length of time to failure (in hundreds of hours) for a transistor is a random variable X with the CDF given below: 2 F(x)lTe; x20 (a) Plot the CDF by hand. (b) Derive the pdf of this r...
The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by F(y) = ( 1 − exp{−y 2}, if y ≥ 0, 0, elsewhere. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y ) and V (Y ) [2] (d) Find the probability that the transistor operates...
Problem 7: [8 points] The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by F(y) {: 1 - exp{-yº}, if y20, 0, elsewhere. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y) and V(Y) [2] (d) Find the probability that the transistor operates for at least...
Problem 7: (8 points] The length of time to failure in hundred of hours) for a transistor is a random variable Y with c.d.f. given by Fy) -{.. 1 - exp{-yº}, if y> 0, 0, elsewhere. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (e) Find E(Y) and V(Y) [2] () Find the probability that the transistor operates for at...
Problem 7: [8 points] The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by 1 - exp{-yº}, if y> 0, 0. elsewhere. F(y) -{. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y) and V(Y) [2] (d) Find the probability that the transistor operates for at...
Problem 7: (8 points) The length of time to failure (in hundred of hours) for a transistor is a random variable Y with e.df. given by Fy) - 1 - exp{-1}, if y> 0 0, elsewhere. (a) Find the p.d.ff(s) of Y and show that it is indeed a valid p.d.f[2] (b) Find the 30 percentile of Y and interpret it (2) (c) Find E(Y) and V(Y) (2) (d) Find the probability that the transistor operates for at least 200...
Problem 7: (8 points) The length of time to failure (in hundred of hours) for a transistor is a random variable Y with e.df. given by Fy) - 1 - exp{-1}, if y> 0 0, elsewhere. (a) Find the p.d.ff(s) of Y and show that it is indeed a valid p.d.f[2] (b) Find the 30 percentile of Y and interpret it (2) (c) Find E(Y) and V(Y) (2) (d) Find the probability that the transistor operates for at least 200...
Random variable X has the pdf f(x) = λe^(−λx) for x > 0. (a) Derive the CDF of X. (b) Derive the moment generating function of X. (c) Derive the mean of X. (d) Derive the variance of X.
The CDF of a random variable X is given by: F(x) = 1 - e-2x for x >= 0 0 for x < 0 a) Find the PDF of X. b) Find P(X > 2) c) P(-3 < X ≤ 4)
6. Consider a random variable X with pdf given by 0 elsewhere. (a) What is c? Plot the pdf. (b) Plot the cdf of X. Find P(X 0.5< 0.3).
2. Suppose that the CDF of X is given by Fur :53 e-3 for x <3 Fx)for 3 for r >3. 1 (a) Find the PDF of X and specify the support of X. (b) Given a standard uniform random variable U ~ uniform(0, 1), find a transformation g) so that X g(U) has the above CDF. (Hint: This entails the quantile function F-().) 2. Suppose that the CDF of X is given by Fur :53 e-3 for x 3....