2 x 1-hour seminars weekly
1 x 2-hour workshop weekly
3 x 2-hour on-line exercises per semester
2 x .75-hour on-line lectures weekly
Enrolment not permitted
1 of BUSN1009, BUSN1209, STAT1121, STAT1201, STAT1202, STAT1412 has been successfully completed
Topic description
  1. Design of biological experiments: experiments, observational studies, sample surveys; measurements & variables; replication & pseudo-replication
  2. Descriptive statistics: graphical & numerical summaries; the shape of a distribution; data screening & outliers
  3. Exploring relationships: predictor-response data; the least-squares line; residuals & transformations; prediction; the sample correlation coefficient; time series
  4. Probability: basic concepts; conditional probability & independence; random variables, the binomial distribution, the normal distribution
  5. Statistical inference: samples & populations; estimation, confidence intervals, hypothesis testing; inference for normal samples (one-sample); inference for proportion
  6. The application of statistics to biological and health data. Choosing the appropriate statistical technique
Educational aims

This topic is directed towards students with little quantitative experience.

It serves as an introduction to biostatistics as the use of statistical techniques in the biological sciences. Students will learn how to select tools and techniques from statistics to apply to problems in biological and health sciences. It aims to impart an understanding of the key issues in the analysis of statistical data together with practical experience in using a modern statistical package to perform elementary statistical analysis in a biological or health-related field.

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

  1. Gain an understanding of the statistical concepts and techniques presented
  2. Acquire quantitative confidence
  3. Gain an understanding of which statistical techniques are appropriate for different scientific situations

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.