(Satellite Operation) The Earth rotating satellite has a sensor
whose operating time X (in units per year) follows the exponential
distribution as λ = 0.6. Then, X has a density function
f (t) =( λe − λt, t> 0,
0, t ≤ 0)
(a) Determine the accumulation function F (t) of X.
(b) Calculate the probability that the sensor will last at least
seven years.
(c) Determine the accumulation function for the conditional
distribution of the random variable Y = X - 7 with respect to event
A = {X> 7}, ie the function FY | A (t) = P (Y ≤ t | A).
(d) Calculate the probability that the sensor will last at least
another seven or seven years if it is known to be intact even after
the first seven years.
(Satellite Operation) The Earth rotating satellite has a sensor whose operating time X (in units per...
5. The Exponential(A) distribution has density f(x) = for x<0' where λ > 0 (a) Show/of(x) dr-1. (b) Find F(x). Of course there is a separate answer for x 2 0 and x <0 (c Let X have an exponential density with parameter λ > 0 Prove the 'Inemoryless" property: P(X > t + s|X > s) = P(X > t) for t > 0 and s > 0. For example, the probability that the conversation lasts at least t...
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...
QUESTION 6 The time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with rate 0.0005. Round your answers to 4 decimal places. (a) What proportion of fans will last at least 10000 hours? (b) What proportion of fans will last at most 8000 hours? QUESTION 7 Given the probability density function f(x)=(0.02^9 x^8*e^(-0.02x))/8! for x>0 and f(x)=0 otherwise. Determine the mean and variance of the distribution. Round the answers to the...
Problem 3 (Needed for Problem 4) A continuous random variable X is said to have an exponential distribution, written Exp(X), if its probability density function f is such that le- if > 0 10 if x < 0 f(0) = 0 where > 0 is a real number. 1. Compute the mean of X 2. Compute the variance of X 3. Compute the cumulative distribution function F of X. Use this to show that for any real numbers s and...
1 a) Find the area of the surface obtained by rotating the
circle x^2 + y^2 = 49 about the line y=7. (Keep two decimal places)
(note: the answer is not 6,770.55)
b) According to the National Health Survey, the heights of adult
males in the United States are
(normally distributed with mean) 73 inches, and standard deviation
of 2.8 inches. What is the
probability that an adult male chosen at random is between 71
inches and 75 inches tall?...
1. X,,x2,..., X, is a random sample from a Poisson (0) distribution with probability mass function 0*e f(x) = x=0,1,..., 0 >0. x! (1) Write Poisson (0) as an exponential family of the form fo(x) = exp{c(0)T(x)-v (0)}h(x) State what c(0), 7(x), and y (@) are. (ii) a. Prove that for the exponential family given in (i), E[T(X)]=y'(c). b. Hence find the mean of the Poisson (0) distribution. [3] [6] [2] 21 (iii) Show that for the Poisson (0) distribution,...
1. Suppose that Xi,..,Xn are independent Exponential random variables with density f(x; λ) λ exp(-1x) for x > 0 where λ > 0 is an unknown parameter (a) Show that the τ quantile of the Exponential distribution is F-1 (r)--X1 In(1-7) and give an approximation to Var(X(k)) for k/n-T. What happens to this variance as τ moves from 0 to 1? (b) The form of the quantile function in part (a) can be used to give a quantile-quantile (QQ) plot...
1. Suppose that Xi,..,Xn are independent Exponential random variables with density f(x; λ) λ exp(-1x) for x > 0 where λ > 0 is an unknown parameter (a) Show that the τ quantile of the Exponential distribution is F-1 (r)--X1 In(1-7) and give an approximation to Var(X(k)) for k/n-T. What happens to this variance as τ moves from 0 to 1? (b) The form of the quantile function in part (a) can be used to give a quantile-quantile (QQ) plot...
12. let Mx(1) be the moment generating function of X. Show that (a) Mex+o(t) = eMx(at). (b) TX - Normal(), o?) and moment generating function of X is Mx (0) - to'p. Show that the random variable 2 - Normal(0,1) 13. IX. X X . are mutually independent normal random variables with means t o ... and variances o, o,...,0, then prove that X NOEL ?). 14. If Mx(1) be the moment generating function of X. Show that (a) log(Mx...
2. -30 a) The joint pdf of random variables X and Y is given by f(x,y) = 27ye-3 y<x<0, y >0. Show that the joint moment generating function(mgf) of X and Y is 27 M(t1, tz) = tı <3, tı + t, <3 (3 - tı) (3 - 7ı - t2) Use the joint mgf to obtain Cov(X,Y). b) Let X1, X2, X3 be independent random variables representing the lifetime of 3 electronic components with the following pdf, where X...