Please find the attached image.
6. Let X be the continuous random variable denoting the probability that the Game- cocks baseball...
Suppose T is a continuous random variable whose probability is determined by the ex- ponential distribution, f(t), with mean μ. a. Compute the probability that T is less than p b. The median of a continuous random variable T is defined to be the number, m, such that P(T which mIn other words, if f(t) is the PDF of T, it is the number m for P(T )f(t) dt Compute the median for the exponential random variable T above. Is...
Question 2 Let X be a continuous random variable that has a Cumu lative Distribution Function given by: Pr[X 20 if €(0,20). The CDF is zero for < 0 and one for x> 20. Find: a) Pr[X 10 b) Pr[X 5 e) E[X] d) The probability density function of r, f(x) 1 e) Plot (separately) a graph of the CDF of x and a graph of the pdf of as a function of r
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.
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=
Recall from class that the standard normal random variable, Z, with mean of 0 and stan- dard deviation of 1, is the continuous random variable whose probability is determined by the distribution: a. Show that f(-2)-f(2) for all z. Thus, the PDF f(2) is symmetric about the y-axis. b. Use part a to show that the median of the standard normal random variable is also 0 c. Compute the mode of the standard normal random variable. Is is the same...
Let X be a continuous random variable whose PDF is Let X be a continuous random variable whose PDF is: f(x) = 3x^2 for 0 <x<1 Find P(X<0.4). Use 3 decimal points.
Question 3 Suppose that the random variable X has the following prob- ability density function. f(x) =1- for 1 € (0,2), and zero otherwise. a) Plot the graph of the pdf of x. b) Is it true that Pr[X <0] = 0.5? c) Is it true that Pr[X < 1] = 1? d) Is it true that E[X] < 0.5? e) Is it true that Prix < 0.5) > 0.5? f) Find the CDF of x. Compare the graph of...
Let X be a continuous random variable uniformly distributed on the unit interval (0, 1), .e X has a density f(x) = { 1, 0<r<1 f (x)- 0, elsewhere μ+ơX, where-oo < μ < 00, σ > 0 (a) Find the density of Y (b) Find E(Y) and V(Y)
Question Let X be a continuous random variable with the following probability density function (pdf) 0.5e fx (x) = { 0.5e-1 x < 0. <>0.. (a) Show that fx (x) is a valid pdf. (b) Find the cumulative distribution function Fx (.x). (e) Find F='(X). (d) Write an algorithm to generate a sample of size 1000 from the distribution of X using the inverse-transform method. Be as precise as possible.
Exercise 4 (Continuous Probability) For this exercise, consider a random variable X which is normally distributed with a mean of 120 and a standard deviation of 15. That is, x-.. N (μ = 120, σ. 225) (a) Calculate P(X<95) (b) Calculate P(X > 140) c) Calculate P(95<X<120 (d) Find q such that P(X<)-0.05 (e) Find q such that P(X>) 0.10