In many disciplines researchers wishing to publish are asked to provide a statistical analysis. Reviewers are often specific about what statistical measures they want included. Why wasn't an ANOVA done? What is the power of the test?

Researchers may have a statistical package available to them. How does one decide which is the appropriate procedure? What do all the pages of printout mean?

This course is designed as an overview of statistical design and analysis for researchers. Emphasis is on understanding the concepts of statistical procedures (with an absolute minimum of mathematics) and on interpreting computer output. This course is designed to help you, the researcher. It assumes you did an undergraduate statistics subject which you have completely forgotten.

Although instructions on how to obtain printouts using SPSS will be provided, the emphasis is on interpreting the computer printout, and most packages produce similar printout. Relevant web-sites that provide on-line statistical calculations will also be given. There will be computing lab sessions throughout the course.

Types of experiments, scales of measurement, which method to use.

Ways of presenting data (histograms, boxplots), measures of centre and spread, analysing tables, correlation, confidence intervals.

Hypothesis testing concepts-power, significance, P-value. Comparing 2 groups (t-tests, Wilcoxon). Comparing many groups - ANOVA or Kruskal-Wallis - multiple comparison tests, required sample size and repeated measures.

Correlation, predicting relationships (regression - simple).

Certificates of attendance will be presented to participants. If formal assessment is desired, please discuss this with the contact person below.

Contact:Amber Tye
School of Mathematics and Statistics, UNSW
E-mail: kiera@maths.unsw.edu.au
Fax: 9385 7123
Phone: 9385 7111
Registration form can be downloaded here

Course Time:Tuesday and Wednesday
Commencing:
September 25th and 26th 9.30am-5.00pm
Duration: 2 days
Cost: $450 without GST for UNSW staff and students $500 with GST for others.