Find the expected life of such a tube.
The life (hour) of an electronic tube is a random variable with the following probability...
Assume the life of an electronic component in hours is a random variable with the following density function: 9. f(x)-(01 ge-./soo, elsewhere. Find the following: (a) The mean life of the electronic component, (b) Find E(X2), (c) Find the variance and standard deviation of the random variable X. (d)Demonstrate that Chebyshev's theorem holds for k = 2 and k = 3. Assume the life of an electronic component in hours is a random variable with the following density function: 9....
The life (in months) of a certain electronic computer part has a probability density function defined by f(t) = ke-Ź, for t in (0,00) (a). Find k that will make f(t) a probability density function. (b). Find the probability that randomly selected component will last at most 12 months. (c). Find the cumulative distribution function for this random variable? (d) Use the answer in part (c) to find the probability that a randomly selected com- ponent will last at most...
PLEASE ANSWER ALL QUESTION 1 1 points Save Answer A random variable is a uniform random variable between 0 and 8. The probability density is 1/8, when 0<x<8 and O elsewhere. What is the probability that the random variable has a value greater than 2? QUESTION 2 1 points Save Answer The total area under a probability density curve of a continuous random variable is QUESTION 3 1 points Save Answer X is a continuous random variable with probability density...
1. 20 points Let X be a random variable with the following probability density function: f(x)--e+1" with ? > 0, ? > 0, constants x > ?, (a) 5 points Find the value of constant c that makes f(x) a valid probability mass function. (b) 5 points Find the cumulative distribution function (CDF) 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.
9.) Suppose that X is a continuous random variable with density C(1- if r [0,1 0 ¡f x < 0 or x > 1. (a) Find C so that px is a probability density function (b) Find the cumulative distribution of X (c) Calculate the probability that X є (0.1,0.9). (d) Calculate the mean and the variance of X 10.) Suppose that X is a continuous random variable with cumulative distribution function Fx()- arctan()+ (a) Find the probability density function...
2x 0<x<1 Let X be a continuous random variable with probability density function f(x)= To else The cumulative distribution function is F(x). Find EX.
6. Let X be a continuous random variable whose probability density function is: 0, x <0, x20.5 Find the median un the mode. 7. Let X be a continuous random variable whose cumulative distribution function is: F(x) = 0.1x, ja 0S$s10, Find 1) the densitv function of random variable U-12-X. 0, ja x<0, I, ja x>10.
Problem 2. (7 pts) A continuous random variable X has Lue following probability density function 3, 0 1 0, otherwise f(x)= a. b. c. Find the constant c (1 pts) Find the cumulative distribution function F(x); (2 pts) Find P(X 20.25) and P(0.4 < X<0.5). (4 pts)
Let X be the random variable whose probability density function is f(x) = ce−5x , if x > 0 f(x)=0, if otherwise (a) Find c. (b) Find P(1 ≤ 2X − 1 ≤ 9). (c) Find F(2) where F denotes the c.d.f. of X. (d) Write an equation to find E[3X2 + 15]. You do not have to evaluate it.