Consider a random variable X that has the Weibull distribution, and suppose that the parameter a...
Suppose that the random variable X has a Weibull distribution with parameters a = 3.68 and λ = 0.21. Find the upper quartile of the distribution. Round your answer to the nearest ten thousandth.
Suppose that the random variable X has a Weibull distribution with parameters a = 2.98 and λ = 0.23. Find P(3 ≤ X ≤ 7). Round your answer to the nearest ten thousandth.
Suppose that the random variable X has a Weibull distribution with parameters a = 4.54 and λ = 0.12. Find the value of X so that F(X)=0.23 where F is the cumulative distribution function. Round your answer to the nearest ten thousandth.
The probability density function for a Weibull random variable with positive parameters and KS x>0 (a) Find expressions for the population mean, median, and mode. (Hint: they might not all be closed-form.) (b) Find parameter values associated with the following three cases: the population me- dian and mode of the distribution are equal; the population mean and median of the distribution are equal; the population mean and mode of the distribution are equal.
The probability density function for a Weibull...
4. (9 pts) Suppose the random variable Y has a geometric
distribution with parameter p. Let ?? = √?? 3 3 . Find the
probability distribution of V
3 4. (9 pts) Suppose the random variable Y has a geometric distribution with parameter p. Let V 3 Find the probability distribution of.
Suppose the random variable X represents the time to failure
(in thousands of miles driven) of the signal lights on an
automobile, and that X has a Weibull distribution with alpha =
.0125 and Beta = 2/3.
A) What is the probability that the signal lights function for
at least 20,000 miles?
B) For how many miles can the signal lights be expected to
last?
s. Suppose the random variable represents the time to failure (in thousands of miles driven)...
Exercise 5.6. Suppose that X is a random variable which has geometric distribution with parameter p, for some pe (0,1). Compute E[g(X)], where so if t = 0, g(t) = 11/t if t +0.
Exercise 5.6. Suppose that X is a random variable which has geometric distribution with parameter p, for some pe (0,1). Compute E[9(X)], where So if t = 0, g(t) = if t +0. 11/t
Suppose that the lifetime of a component (in hours), X, is modeled with a Weibull distribution with B 0.5 and = 3400. Determine the following in parts (a) and (b) Round your answers to three decimal places (e.g. 98.765) a) P(X> 3500) = i b) P(X> 6000|X > 3000) i c) Suppose that X has an exponential distribution with mean equal to 3400. Determine the following probability Round your answer to three decimal places (e.g. 98.765) P(X 6000X > 3000)...
Suppose that X has a Weibull distribution with B = 0.5 and 8 = 100 hours. Determine the following. Round the answers to 3 decimal places. (a) P(X < 10000) = (b) P(X > 5000) =