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Unit of study_

PUBH5018: Introductory Biostatistics

2021 unit information

This unit introduces students to statistical methods relevant in medicine and health. Students will learn how to appropriately summarise and visualise data, carry out a statistical analysis, interpret p-values and confidence intervals, and present statistical findings in a scientific publication. Students will also learn how to determine the appropriate sample size when planning a research study. Students will learn how to conduct analyses using calculators and statistical software. Specific analysis methods of this unit include: hypothesis tests for one-sample, two paired samples and two independent samples for continuous and binary data; distribution-free methods for two paired samples, two independent samples; correlation and simple linear regression; power and sample size estimation for simple studies; and introduction to multivariable regression models;. Students who wish to continue with their statistical learning after this unit are encouraged to take PUBH5217 Biostatistics: Statistical Modelling.

Unit details and rules

Managing faculty or University school:

Public Health

Code PUBH5018
Academic unit Public Health
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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None

At the completion of this unit, you should be able to:

  • LO1. choose appropriate measures to summarise data using tables and graphs
  • LO2. create simple tables and graphs following guidelines for clear presentation
  • LO3. determine and calculate the appropriate summary statistics to summarise different types of distributions
  • LO4. understand and explain the concepts of sampling and sampling distributions
  • LO5. choose the appropriate hypothesis test to apply based on the type of data collected and the design of the study
  • LO6. calculate and interpret confidence intervals for various measures of effects (e.g. single mean, difference in means, difference in proportions)
  • LO7. conduct and interpret simple hypothesis tests (e.g. one sample t-test, two-sample t-test, Chi-squared test)
  • LO8. understand and explain the difference between statistical significance and practical importance
  • LO9. carry out simple statistical methods using statistical software
  • LO10. interpret the output produced by statistical software
  • LO11. write concise descriptions that summarise the results from a statistical analysis
  • LO12. determine the sample size requirements for simple studies.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

There are no availabilities for this year.
Session MoA ?  Location Outline ? 
Semester 1 2020
Normal day Camperdown/Darlington, Sydney
Semester 1 2020
Normal evening Camperdown/Darlington, Sydney
Semester 1 2020
Online Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal evening Camperdown/Darlington, Sydney
Semester 1 2021
Normal evening Remote
Semester 1 2021
Online Camperdown/Darlington, Sydney

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.