16 x 1-hour workshops per semester
5 x 4-hour laboratories per semester
1 x 3-hour computer lab fortnightly
2 x 20-minute on-line lectures weekly
1 BIOL1101 - Evolution of Biological Diversity
2 1 of BIOL1102, BIOL1112
3 STAT1122 - Biostatistics
Must Satisfy: (1 and 2 and 3)
Enrolment not permitted
1 of BIOL8741, STAT2700, STAT2701 has been successfully completed
Topic description

Many investigations in biochemistry, botany, zoology, microbiology, molecular biology, genetics and ecology are quantitative, with observations and experiments consisting of numerical facts called data. As biological entities have to be counted and measured, some objective methods are necessary to aid the investigator in presenting and analysing research data. Before data can be analysed, they must be collected and often statistical considerations help in the design of experiments and hypotheses to be tested. Still too many biologists attempt the analysis of their data only to find out that too few data points were collected to enable reliable conclusions to be drawn. Alternatively, it may appear that some effort might have been put in collecting data that cannot be used in the analysis of the experiment. Hence, the knowledge of basic statistical principles and procedures is critical even before an experiment begins. This topic aims at introducing basic concepts of sampling methods and statistical analysis that can be applied to any field of research in biology.

Educational aims

The educational aims of the topic are for the students to get an understanding of the importance of collecting and analysing data when doing research in Biological Sciences.

Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Design experiments and sampling regime for a specific scientific project
  2. Collect data in the field or laboratory
  3. Apply appropriate statistical tests to analyse data
  4. Analyse and graph data using software
  5. Communicate a scientific report using both written and oral communication skills

Key dates and timetable

(1), (2)

Each class is numbered in brackets.
Where more than one class is offered, students normally attend only one.

Classes are held weekly unless otherwise indicated.


If you are enrolled for this topic, but all classes for one of the activities (eg tutorials) are full,
contact your College Office for assistance. Full classes frequently occur near the start of semester.

Students may still enrol in topics with full classes as more places will be made available as needed.

If this padlock appears next to an activity name (eg Lecture), then class registration is closed for this activity.

Class registration normally closes at the end of week 2 of each semester.

Classes in a stream are grouped so that the same students attend all classes in that stream.
Registration in the stream will result in registration in all classes.
  Unless otherwise advised, classes are not held during semester breaks or on public holidays.