The probability density function for a Weibull random variable with positive parameters and KS x>...
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.
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.
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 random variable X has probability density function f (x) = k(−x²+5x−4) 1 ≤ x ≤ 4 or =0 1 Show that k = 2/9 Find 2 E(X), 3 the mode of X, 4 the cumulative distribution function F(X) for all x. 5 Evaluate P(X ≤ 2.5). 6 Deduce the value of the median and comment on the shape of the distribution.
2. Let X be a random variable with the following probability density function: a. Provide the name and parameter(s) for this distribution. b. Let Y be a random variable with the following probability density function: 2πσ Provide the name and parameter(s) for this distribution
2. The Pareto random variable with parameters a > 0 and B >0 has probability density function (a) Verify that fx is a density function. (b) Find P[X> 3a) (c) Find the mean and variance of X. What restriction do you have on 3 in computing the mean and variance (a different restriction for each)? (d) Use the probability transform to simulate 1000 Pareto random variables with α-1 and β-5 and find their sample mean and variance. Compare this to...
3. Let X1, X2, ..., X, be a random sample from the Weibull distribution with parameters B, 7> O and - < a < oo as shown in your table of distributions. Find the distribution for X (1) = min{X1, X2, ...,Xn}, the minimum value of the sample. (Name it!) (Hint: For help with finding the cdf, see Problem 2 on HW 1.)
Let x be a continuous random variable over [a,b] with probability density function f. Then the median of the x-values is m that number m for which f(x) dx = Find the median. f(x)=ke-kx e-10,00) The median is m=
Suppose the random variable X has probability density function (pdf) - { -1 < x<1 otherwise C fx (x) C0 : where c is a constant. (a) Show that c = 1/7; (b) Graph fx (х); (c) Given that all of the moments exist, why are all the odd moments of X zero? (d) What is the median of the distribution of X? (e) Find E (X2) and hence var X; (f) Let X1, fx (x) What is the limiting...