Assignment #1: Due Thursday, January 15, at 4pm. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #2: Due Thursday, January 22, at 4pm. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #3: Due Thursday, January 29, at 4pm. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #4: Due Thursday, February 5, at 4pm. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #5: Due Friday, February 13, at noon.
Assignment #6: Due Thursday, February 19, at 4pm. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #7: Due Friday, February 27, at noon. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #8: Due Friday, March 5, at noon. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #9: Due Friday, March 19, at noon. (You may instead hand in your homework assignment on Thursday, AFTER CLASS.)
Assignment #10: Due Friday, March 26, at noon.
In addition to these five tests, Corey and I will hand out copies of Professor Powers' second midterm. (You can get them from Corey in recitation, from me in class, or from either of us in office hours.) This is not part of the homework assignment (so you do not need to hand it in), but we will go over it in class as part of our preparation for teh midterm. His test does not cover all of our material (e.g. continuous distributions are missing). Problems 1-12 of his test are relevant to us.
In class on Thursday we will discuss Professor Powers' second midterm, as well as Mock tests #1 and #5, as time permits. So in order to derive the most benefit from this procedure, please be sure to completely solve these two mock tests before Thursday, and at least have a look at Powers' test to make sure you know which technique applies to each problem. This way, by the time you have completed the six tests, you should be in GREAT shape for the midterm exam.
Assignment
#11: Due Friday, April 2, at noon.
Problems from the Probability text:
More problems on bivariate distributions:
1. Suppose the joint p.d.f. of a pair of random variables
on the rectangle 0 < x < 2, 0 < y < 1 is given by f(x,y) = 1/2.
Compute Prob(X > Y).
2. Suppose the joint p.d.f. of a pair of random variables
on the rectangle 0 < x < 2, 0 < y < 1 is given by f(x,y) = xy.
Compute Prob(X > Y)
3. Suppose the joint p.d.f. of a pair of random variables on
the first quadrant 0 < x, 0 < y is given by f(x,y) = 6exp(-(2x+3y))
(exp(x) = e^x). Assume a > 0.
Compute Prob(X > a), Prob(Y > a), Prob(min(X,Y) > a), Prob(X > Y)
4. Suppose the joint p.d.f of n-random variables x(k), k = 1,...,n
on the region 0 < x(k) < 2 for k = 1,...,n is f(x) = 1/(2^n). Let
Y = x(1) + x(2) + .... + x(n)
Compute E(Y) and E(Y^2).
Hint. For independent random variables
we have the means and variances add.
Assignment
#12: Due Friday, April 9, at noon.
Problems from the Linear Algebra text:
Assignment
#13: Due Friday, April 16, at noon.
Problems from the Linear Algebra text:
Problems from the Probability text:
Assignment
#14: Due Friday, April 23, at noon.
Do the following exam problems, mostly on linear algebra:
Review all core, old exam, and final exam problems. Do not hand them in again - but be sure to write down any questions you have, and bring them to the various review sessions and office hours.
I know it's been a lot of hard work. I hope you feel that the knowledge you gained was worth the effort though. And maybe you've even had some fun along the way - as did I.
Good luck on the final, and have an exciting and rejuvenating summer,
Ron