Due dates of assignments and projects; exam dates:

http://www.math.dartmouth.edu/%7Edoyle/docs/60.2012/dates/dates.html

http://caligari.dartmouth.edu/downloads/matlab/

Remember that to download and run these programs, you must be on the Dartmouth campus network, either via ethernet, Dartmouth Secure wireless, or VPN:

http://www.dartmouth.edu/comp/internet/offcampus/vpn/juniper.html

If you're new to Matlab, see if you can locate some Matlab-savvy person to pester for help.

Check out Alex Barnett's `bare essentials of Matlab':

http://www.math.dartmouth.edu/%7Em46s09/intro46.m

Look here for some simple probability demonstrations in Matlab:

http://www.math.dartmouth.edu/%7Edoyle/docs/60.2012/matlab/ch1/prob.m

Take a look at section 1.1 of G&S (Grinstead and Snell), and specifically at exercises 1-5, 10, which will be due next Tuesday.

http://caligari.dartmouth.edu/downloads/mathematica/

Here is the practice test we generated in class today: http://www.math.dartmouth.edu/%7Edoyle/docs/60.2012/t2p.pdf

Here's an alternate approach to computing the expected value of the sample variance

= *X*_{i}.

- Assume first that = 0.
- Show that
*E*((*X*_{1}- )^{2}) =*E*() = + (*n*- 1)^{ . }= . - Conclude that
*E*(*S*^{2}) = - Now either modify the argument to do without the assumption = 0, or argue that we can assume that = 0 `without loss of generality'.

Peter G. Doyle 2012-05-15