01

Random point in a triangle

Consider a joint distribution that is uniform over the triangle with vertices (0,0),(0,1), and (1,0). Suppose a point (X,Y) is chosen at random according to this distribution.

(a) Find the joint PDF fX,Y.

(b) Find the marginal PDFs for X and Y.

(c) Are X and Y independent?

02

Factorizing the density

Consider two joint density functions for X and Y:

f1(x,y)=6e2xe3yx,y>0,f2(x,y)=24xyx,y[0,1],x+y[0,1].

(Assume the densities are zero outside the given domain.)

Supposing f1 is the joint density, are X and Y independent? Why or why not?

Supposing f2 is the joint density, are X and Y independent? Why or why not?

03

Composite PDF from joint PDF

The joint density of random variables X and Y is given by:

fX,Y(x,y)={exyx,y>00otherwise

Compute the PDF of Z=X/Y.

04

Alice and Bob meeting at a cafe

Alice and Bob plan to meet at a cafe to do homework together. Alice arrives at the cafe at a random time (uniform) between 12:00pm and 1:00pm; Bob independently arrives at a random time (uniform) between 12:00pm and 2:00pm on the same day. Let X be the time, past 12:00pm, that Alice arrives (in hours) and Y be the time, past 12:00pm, that Bob arrives (in hours). So X=0 and Y=0 represent 12:00pm.

Find the joint PDF of X and Y. (Hint: X and Y are independent.)

5

One car outlasts the other

Suppose that X,YExp(0.1) are two independent exponential random variables.

(a) Find the joint PDF fX,Y.

(b) Find the probability:

P[X5>Y15|X>5ANDY>15]