a)probability that device will survive 150 years =P(T>150)= f(t) dt = 100/t2 dt =-100/t |150
=100/150=2/3 =0.6667
b)
expectancy =E(t)= t*f(t) dt = 100/t dt= 100*ln(t) |100 =100*ln()-100*ln(100) ~
as ln() tends to infinite ; therefore life expectancy of the device does nt exist. or infinite
Problem 4. The life X, in hours, of a certain device, has a pdf 100 ,...
Problem 4. The life X, in hours, of a certain device, has a pdf 100 0, < 100 (a) What are the probability that this device will survive 150 hours of operation? (b) Find the life expectancy of the device.
please do them both for high rate Problem 3. Let X be a discrete random variable, with probability distribution P(X x)0.95, P(Xx2) 0.05 Determine X1 and X2 such that E[X] 0 and σ2(X)-7. Problem 4. The life X, in hours, of a certain device, has a pdf 100 x()t2 2 100 0, t<100 (a) What are the probability that this device will survive 150 hours of operation? (b) Find the life expectancy of the device.
Thank you! 1) Let X be the life (in hours) of a certain electronic device. The pdf of X is f(x)- e-100, for x ? 0 and 0 otherwise. What is the expected life of this device? 100 2) The density function of coded measurements of the pitch diameter of threads of a fitting is 4 0 elsewhere. Find the expected value of X
3. (25 pts) The life X, in hours, of a certain kind of electronic part has a probability density function given by fory 2100 f,(y) o, fory <100 (A) What is the probability that a part will survive 250 hours of operation? (B) Find the expected value of the random variable (C) Find the variance of the random variable if the probability density function is given by y 2100 0, y<100.
Problem 1 The pdf of X, the lifetime of a certain type of electronic device in hours, is given by if x > 10 10 if x < 10 f(x) = { ift 1. (1 point) Find the constant c that makes the a valid pdf. 2. (1 point) Find P(X > 20) 3. (1 point) Find F(x), i.e. the cummulative distribution of X? 4. (1 point) What is the median value of X?
2. Let the random variables X and Y have the joint PDF given below: 2e -y 0 xyo0 fxy (x, y) otherwise 0 (a) Find P(X Y < 2) (b) Find the marginal PDFs of X and Y (c) Find the conditional PDF of Y X x (d) Find P(Y< 3|X = 1)
< 1. The joint probability density function (pdf) of X and Y is given by for(x, y) = 4 (1 - x)e”, 0 < x <1, 0 < (a) Find the constant A. (b) Find the marginal pdfs of X and Y. (c) Find E(X) and E(Y). (d) Find E(XY).
The life X (in years) of a regulator of a car has the pdf 32 f(3) = 83 -e-(2/8), 0<x< 0. (a) What is the probability that this regulator will last at least 5 years? (b) Given that it has lasted at least 5 years, what is the conditional probability that it will last at least another 5 years? (c) Suppose the replacement cost Y in dollars) after the regular dies is proportional to X and with mean $5,120. Find...
IV. Let X be a random variable with the following pdf: f() = (a + 1)2 for 0<< 1 0 elsewhere Find the maximum likelihood estimator of a, based on a random sample of size n. Check if the Maximum Likelihood Estimator in Part (a) is unbiased
PROBLEM 4 Let X be a continuous random variable with the following PDF 6x(1 - 1) if 0 <r<1 fx(x) = o.w. Suppose that we know Y X = ~ Geometric(2). Find the posterior density of X given Y = 2, i.e., fxy (2/2).