You will either be attending the entire course or selected modules/topics, depending on who you are. Before attending the modules, you need to download and print the handouts for the particular days. Because the number of people attending varies widely from day to day, it's difficult for us to bring copies without wasting large amounts of paper, or running very short.
Some of you will sit an exam, as indicated in the table below. The exam will be open book, composed of 10 questions. Each question corresponds roughly to a half day of lectures. You can get a sample exam paper from (2000) or 2001 here. Answers to some of the questions are available, as notes on another version of the file.
Melb 600-601 |
Attend all topics; full exam; see separate schedule on WebRaft |
|---|---|
Melb Zoology Hons (Disc.) |
Attend at least 5 of 10 topics; exam assessed as Pass/Fail only |
Melb Zool. Hons (Links) |
Attend all topics; full exam based on all topics |
Melb Botany Hons |
Attend at least 5 of 10 topics; exam assessed as Pass/Fail only |
It's assumed that you have an understanding of basic statistics. You will probably have that from one or more undergraduate subjects that you've taken. If you're feeling stressed, we have prepared some refresher material as pre-recorded lectures. They are large files, so the easiest access is by borrowing a DVD. The DVD's will be available soon.. If you are on the U of M campus, you can download the files readily, without download charges. Off campus, you should check your dowload limits (if any).
| Revisionary material | Uncertainty and Probability (Multimedia files; Windows Media Player compatible download either the stand-alone or the wmv version; 20 mb each) Introduction to statistical inference, I and II or Multimedia (Windows Media Format; download two files, I-stand-alone or wmv, and II-stand-alone or wmv; 35 mb each) Exploratory Data Analysis and Assumptions of statistical analyses or Multimedia version (Windows Media Format; download the stand-alone or the wmv version; 65 mb each) Experimental design stand-alone or wmv version (36 mb each) |
|---|
If you have any problem playing the files, the free VLC multimedia player will deal with it. It plays most kinds of files, and works on pretty much any operating platform.
Lecture handouts are ready for you to download, print, and bring along to the relevant days.
| Session | Topic |
|---|---|
22 July AM |
Single factor analysis of variance (ANOVA) model |
22 July PM |
Multifactor analysis of variance: Nested and factorial designs |
| 23 July AM | Miscellaneous ANOVA issues and |
23 July PM |
Complex multifactor analyses: Randomised block, repeated measures and partly-nested analysis of variance |
| Session | Topic |
|---|---|
24 July AM |
Simple linear regression models |
24 July PM |
|
| 25 July AM | Power analysis and Categorical Data analysis |
25 July PM |
Categorical Data Analysis (cont.) and Presentation of results |
31 July AM |
Multivariate statistics (including resemblance measures, clustering, data standardisation, PCA) and guide for PCA in R |
|---|---|
1 Aug AM |
MultiDimensionalScaling (including SIMPER, hypothesis tests, Bio-ENV) and R guide |
Arrangements depend on which group you fall into:
Melb 600-601 Melb Zool. Links |
Formal sessions, following each module. |
|---|---|
Melb Zool Disc. Melb Botany Melb |
Work through remaining worksheets at own pace. Tutor available at Melbourne available after each module |
| Postgrads | Work through worksheets in own time. |
The worksheets can be done in two formats, using common commercial stats packages, such as SYSTAT or SPSS, or using the free package R. The two formats cover the same material, although the breakdown of the worksheet material differs slightly.
Follow this link to download R and the tutorial material onto your own computer, or to work through the material while it is stored on the web (you will still need to have R installed)
The data files for the worksheet questions are provided here in spreadsheet format with an .xls (Microsoft Excel) extension. These files can be imported into SYSTAT or opened in SPSS (make sure you tick the Read Variable Names box), or opened in pretty much any spreadsheet package. Alternatively, you can also cut and paste the data, column by column, from Excel into SYSTAT, SPSS or NCSS, or any other statistical package.
Module 3
Worksheet 1
Worksheet 2
Worksheet 3
Worksheet 4
Worksheet 5
Worksheet 6
Worksheet 7
|
File Name |
Description & www link |
Size |
|
|
Gpower ver. 3 |
800k |
||
| R | www.r-project.org | ||
|
PiFace.exe |
PiFace add-in for Excel |
83k |
All of the worksheets, handouts, powerpoint presentations are Copyright © Gerry Quinn, Jan Carey, & Mick Keough, 2003 - All Rights Reserved. Please do not distribute them beyond the course.
Maintained by Mick Keough & last modified July 25 2008