This is the website for
Bill Press' web lectures on
statistics, originally given as a course at the
University of Texas at
Austin, where Bill is a professor in computer science. The associated
YouTube channel is called
opinionatedlessons.
If you just want to watch or sample the lectures,
you can go directly to
the
YouTube channel. If you want to dig deeper into the course,
the links below to get the lecture's slides as a PDF.
[Hint to hacker instructors: If you change the link's file extension from .pdf to .ppt
you will usually get the original Powerpoint file, which can be edited. But, unfortunately, equations
display wrong in the .ppt because they were generated with an obsolete TeX to PPT program.]
Yep. There is a fossil Course Wiki with problem sets, discussion
problems, and other materials. When the course was last given in 2014, the
enrolled students agreed to make their work (homework, individual
projects, etc.) available on the web to everyone in the world as a
public wiki.
The front door is here and explains
things. The individual student pages are accessed
here.
Some students worked harder than others, you'll see! A few students
provided some really excellent problem solutions. (You'll have
to figure out for yourself which ones.)
OK, apologies! The wikis are subject to
bit rot, because
the
MediaWiki
software and its underlying
PHP need
to be upgraded from time to time, and Bill doesn't always remember to
do this. If you think this is the problem, Google to find Bill
Press's email and send him a note. (Sorry,
don't send him
your statistics questions!)
If you find the course wiki pages completely broken, then here is a partial workaround:
(1) The YouTube links should still work, so you can still watch the
lectures. (2) A single kludgy PDF file with much (but not all) of the
material available for the individual segments is
linked here. That link also has most, but not all, of the
problem sets, but none of the students' solutions.
Some additional lectures made it into
PowerPoint slides, but never got recorded as web lectures.
Here are the links:
