Statistics for Research Workers
6 days: 16–23 July (SPSS) 2008.
This very popular course gives a basic understanding of statistical ideas and methods involved in carrying out research. Statistical topics covered will include estimation, hypothesis testing, regression and inference based on the normal distribution. This is a six day course, and the timetable is deliberately arranged so that there is a weekend break during the course.
The course covers:
- Descriptive statistics; graphs, tables, summary statistics. Introduction to Minitab or SPSS.
- Introduction to estimation and confidence intervals.
- The normal distribution; means and variances of sums of random variables; the Central Limit Theorem; the normal approximation to the binomial distribution.
- Confidence intervals for means and proportions.
- Introduction to hypothesis testing.
- Tests for differences in location between two populations with matched samples: sign test, Wilcoxon signed-rank test, t-test. The relationship between confidence intervals and hypothesis testing.
- Tests for differences in location between two populations with independent samples: t-test.
- Testing for difference in location of more than two populations. Analysis of variance (F-test), multiple comparisons.
- Two-way classifications: analysis of variance (F-test), interaction.
- Determination of sample size.
- Design of experiments: randomization, blocking, replication, confounding. Standard designs.
- Correlation and straight line regression.
- Multiple regression.
- Analysis of categorical data; contingency tables.
Course structure:
The six days are deliberately arranged so that there is a weekend break during the course. Each day will consist of four approximately equal-length sessions; the first session of the day will commence at 9:15 a.m. and the final session will end at approximately 4:45 p.m. The sessions will mix lecture presentations with practical work using software; tutorial help will be liberally available. A full set of notes will be provided. Morning and afternoon teas are included; lunches are not included. A certificate on completion can be provided on request.
Venue:
The course will be held in the Wilson Computer Laboratory in the Department of Mathematics and Statistics, Richard Berry Building. Parking within the University grounds will not be available.
Cost:
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University of Melbourne students taking the course for academic credit pay no upfront fee.
University of Melbourne students: $880 (incl $80 GST; GST does not apply if paying through your University department.)
For the July SRW course, priority will be given to students choosing to do SRW for academic credit. The cost for any other participants will be as follows: - All others: $1100 (incl $100 GST).
The fee includes a comprehensive set of notes, and morning and afternoon tea. Lunches are not provided.
The cost of the course is $1100 (incl. $100 GST). We have a discounted rate for University of Melbourne postgraduate students of $880 (incl. $80 GST, GST does not apply if paying through your University department.) The fee includes a comprehensive set of notes, and morning and afternoon tea.
Prerequisites:
There are no formal prerequisites though it is expected that most participants will have studied mathematics at VCE level, or equivalent. Participants need to be comfortable with a limited amount of mathematical notation. The onus is on participants to check that the course suits their needs. Please do this carefully.
Course presenters:
Associate Professor Ian Gordon, the Director of the Statistical Consulting Centre and Dr Sue Finch, who have given many similar courses previously.
Enrolment package:
- University of Melbourne post-graduate students (Masters by research, PhD, MD) applying for SRW for formal credit (620-610, 12.5 points):
- Fee paying Participants (University of Melbourne post-graduates, staff and external participants): click here.
If you have difficulties downloading the form or any questions related to the course, click here or contact Deb Maillardet on 8344 6995.
Please send completed enrolment forms to:
Statistical Consulting Centre
Richard Berry Building
The University of Melbourne
VIC 3010
or fax to 8344 7499.
If you would like to register your interest in SRW November, please complete and submit the following: