- Introduction to SAS for Windows
- Introduction to SPSS for Windows
- Lisp-Stat and Rcode for Interactive Data Analysis
- Exploratory and Graphical Methods for Data Analysis

- Instructor:
- Peggy Ng
- Dates:
- May 4, 11, 18, 25, June 8
- Time:
- Thursdays 10:00 a.m. - 1:00 p.m.
- Location:
- Room T107 Steacie Science Library
- Enrolment Limit:
- 30

The course consists of three parts, which may be taken individually or as a whole:

**I Windows Pre-session:** The pre-session is intended to make the
SAS sessions accessible to those without previous experience with
Windows on personal computers. Only the bare essentials of
Windows will be covered; those familiar with Windows need not
attend.

**II Basic Introduction**: Sessions One and Two provide an overview
of SAS and its underlying logic; an explanation of the use of the
Display Manager System to run a SAS job; an introduction to the
SAS Data step for reading, transforming, and storing data; and a
demonstration of how statistical analyses may be performed in SAS
Proc (procedure) steps.

**III Intermediate Topics**: Sessions Three and Four will concentrate
on SAS programming techniques to modify data and enhance SAS
output. As well, more statistical procedures will be introduced.

- Instructor:
- Mirka Ondrack
- Dates:
- Fridays - May 5, 12, 19, 26, June 16
- Time:
- FRIDAYS, 10:00 a.m. - 1:30 p.m
- Location:
- Room T107 Steacie Science Library
- Enrolment Limit:
- 30

This course consists of three parts, which may be taken individually or as a whole:

**I Windows Pre-session**: The pre-session is intended to make the
SPSS sessions accessible to those without previous experience
with Windows on personal computers. Only the bare essentials
of Microsoft Windows will be covered.

**II Basic Introduction:** Session One is an elementary
introduction to statistical computer programs, computing
concepts, and the essentials of SPSS. At the end of the first
session, participants should be able to run very simple
programs, including some basic descriptive statistical
procedures. Session Two will cover first-session topics in greater
detail, concentrating on data definition facilities and various
ways of formatting data.

**III Intermediate Topics**: Sessions Three and Four will
introduce data modification, transformations, and functions.
Session Five will cover the use of SPSS system files.

- Instructor:
- John Fox
- Dates:
- May 17, May 24
- Time:
- Wednesdays, 2:30pm - 4:30pm
- Location:
- tba
- Enrolment Limit:
- 30

The goal of this short course is to demonstrate the use of R-code and to explain some of the basics of programming in Lisp-Stat.

- Instructor:
- Michael Friendly
- Dates:
- May 31, June 7
- Time:
- Wednesdays, 1:30-4:30pm
- Location:
- Admin Studies, B037
- Enrolment Limit:
- 30

- Data displays which reveal aspects of data not easily captured in numerical summaries or tabular displays.
- Diagnostic displays which help the viewer decide if assumptions of an analysis are met.

The following topics will be discussed:

- Examining distributions-- stem & leaf plots, boxplots, probability plots, data transformations.
- Examining relationships-- enhanced scatterplots, smoothing scatterplots.
- Regression diagnostics-- residual plots, detecting influential observations, partial regression plots.
- Multivariate data displays-- stars & profiles, biplots, detecting multivariate outliers

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