# BUSI 275 Fall 2011 Homepage

## Instructor

 Dr. Sean Ho twu@seanho.com Hours: TR 4-5pm, NWB 231 TA: Anne Schober, Anne.Schober@mytwu.ca Hours: T 1:10-2:10 Reading Room busi275.seanho.com Class location: CanIL 115 Lab (Section A) TR 11:40-13:00 (Section B) TR 14:35-15:50

## Syllabus

General course information: objectives, prerequisites, text, policies, etc.

## Schedule

Lectures and assignment due dates (subject to revision as the semester proceeds).

## Lectures

Lecture notes in PDF format.

## Homework

HW assignments (will be updated as the semester proceeds).

## Term Project

Details on your term project, which includes a proposal, in-class presentation, and final paper.

## Textbook Data

Sample datasets from the textbook, also used in lecture. These are copyrighted.
Also see the textbook's companion website, including Excel 2007 tutorials, self-study quizzes, and the PHStat2 software.

## Excel Tips

Tips and tricks for using Excel, will be updated as the semester progresses.

## Practise Questions

Practise questions for the midterm exam on Thu 20 Oct and the final exam on Sat 10 Dec.

## Courses

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.

## Software

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, try 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 David Heiser.
• 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 add-ons).
• 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!

## Datasets

Some resources to find data for your term project:

## Daily Devos

Every class starts with a short devotional from the Bible, to help keep everything in perspective!