xena and yani each choose an interval [0,1] let us refer to xena number as x and to yani's number as y. what is the conditional probability that x ≤ 1/2 given that y ≤ 2x
please show work and explain
xena and yani each choose an interval [0,1] let us refer to xena number as x...
5. Let X have a uniform distribution on the interval (0,1). Given X = x, let Y have a uniform distribution on (0, 2). (a) The conditional pdf of Y, given that X = x, is fyıx(ylx) = 1 for 0 < y < x, since Y|X ~U(0, X). Show that the mean of this (conditional) distribution is E(Y|X) = , and hence, show that Ex{E(Y|X)} = i. (Hint: what is the mean of ?) (b) Noting that fr\x(y|x) =...
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter A= 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(X > 0.25) U (Y> 0.25)}? nd (c) What is the conditional distribution of X, given that Y =3? ur worl mple with oumbers vour nal to complet the ovaluato all...
1. Let U be a random variable that is uniformly distributed on the interval (0,1) (a) Show that V 1 - U is also a uniformly distributed random variable on the interval (0,1) (b) Show that X-In(U) is an exponential random variable and find its associated parameter (c) Let W be another random variable that is uformly distributed on (0,1). Assume that U and W are independent. Show that a probability density function of Y-U+W is y, if y E...
Choose two numbers X and Y independently at random from the unit interval [0,1] with the uniform density. The probability that X^2+Y^2>0.81 is ?
Exercise 10.33. Let (X,Y) be uniformly distributed on the triangleD with vertices (1,0), (2,0) and (0,1), as in Example 10.19. (a) Find the conditional probability P(X ≤ 1 2|Y =y). You might first deduce the answer from Figure 10.2 and then check your intuition with calculation. (b) Verify the averaging identity for P(X ≤ 1 2). That is, check that P(X ≤ 1 2)=:∞ −∞ P(X ≤ 1 2|Y =y)fY(y)dy. Example 10.19. Let (X, Y) be uniformly distributed on the...
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter = 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(x > 0.25) U (Y > 0.25)}? (c) What is the conditional distribution of X. given that Y - 3? (d) What is Var(Y - E[2X] + 3)? (e) What is...
WILL THUMBS UP IF DONE NEATLY AND CORRECTLY! Let X have a uniform distribution on the interval (0,1) a. Find the probability distribution of Y-1 Enter a formula in the first box and a number in the second and third boxes corresponding to the range of y. Use * for multiplication, / for divison, for power and in for natural logarithm. For example, (3"у"e 5"y+2)+11*1n(y))/(4xy+3) 4 means (3y-e5 +2 + 11-in y)/(4y+3)4, Use e for the constant e g. e...
(a) Consider four independent rolls of a 6-sided die. Let X be the number of l's and let y be the number of 2's obtained. What is the joint PMF of X and Y? (b) Let X1, X2, X3 be independent random variables, uniformly distributed on [0,1]. Let Y be the median of X1, X2, X3 (that is the middle of the three values). Find the conditional CDF of X1, given that Y = 0.5. Under this conditional distribution, is...
. Let Y and Z be independent uniform random variables on the interval [0,1]. Let X = ZY. (a) Compute E(XY). (b) Compute E(X).
(4) Let C[0,1] be the inner produce space of all real-valued, continuous functions on the interval (0,1) with inner product.g) = Sopr)(x) dr. Determine the projection of the vector {m} onto the space spanned by the orthonormal system of vectors given below. {1, 73(2x - 1)}