General course information: objectives, prerequisites, text, policies, etc.
Lectures and assignment due dates (subject to revision as the semester proceeds).
Lecture notes in PDF format.
HW assignments (will be updated as the semester proceeds).
Details on your term project, which includes a proposal, in-class presentation,
and final paper.
Sample datasets from the textbook, also used in lecture. These are copyrighted.
the textbook's companion website, including Excel 2007 tutorials, self-study quizzes, and
the PHStat2 software.
Tips and tricks for using Excel, will be updated as the semester progresses.
Practise questions for the midterm exam on Thu 20 Oct
and the final exam on Sat 10 Dec.
I have taught similar statistics courses before;
you may find the old exams (with solutions) useful:
MATH108 (for Nursing) and
MATH102 (for Science).
A link at the bottom takes you to previous years.
We use Excel in class not because it is the most easy-to-use, cheap, or
powerful statistical software (far from it!), but because it is easily
accessible and still widely used in the business world.
- Download the PHStat2 Excel add-on used
by the textbook. Also see
the PHStat homepage.
PHStat is installed in the classroom; go to Start Menu, Programs, Business.
It should then appear under the "Add-Ins" menu in Excel.
- For Mac users and others who can't get the Analysis ToolPak for Excel,
StatPlus:mac from AnalystSoft; there is a free LE version for download.
- For help and tips with Excel,
Bill Jelen's "Mr. Excel" site is useful.
- Excel does have some problems when used for statistics; see
Practical Stats and
- Excel is not the only spreadsheet software out there; you can try
the free office suite LibreOffice,
or even Google Docs
(although their regression tools are pretty limited without using
- The social and health science folks often rely on IBM's
SPSS, however it is not that easy
to use, and is pretty expensive (although TWU has a site-license).
- Stata is cheaper than SPSS and
has a growing following; I've never used it myself.
- SAS is the old, established
industry leader, especially in financial services and business analytics.
But they are (IMHO) way overpriced and a bit slow to embrace change.
(I do hear they're a great company to work for, though!)
- For those not shy of a command-line interface, there is also the very
powerful (and free) R project.
This is what I use personally; it is the de-facto standard amongst
academic statisticians, and as such constantly has the most cutting-edge
techniques added to its enormous ecosystem.
R is not just software; it's a community!
Some resources to find data for your term project:
Every class starts with a short devotional from the Bible, to help keep
everything in perspective!