BIOSTATISTICS
PHE5IST
2016
Credit points: 15
Subject outline
In this subject, students are introduced to basic statistical concepts and methods as they are applied in the field of health. At the completion of the subject, students should be able to: Distinguish and summarise basic data types (binary, categorical, continuous)Understand the concepts of sampling variability and statistical powerDescribe how simple statistical analyses of sample data can be used to draw inferences about population parametersCalculate standard errors and confidence intervals for estimated means and proportionsUnderstand the role of p-valuesDistinguish between clinical relevance and statistical significance
School: School of Psychology & Public Health
Credit points: 15
Subject Co-ordinator: Bircan Erbas
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: Classes are held at the City Campus. The subject is on offer to Master of Public Health students.
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Essential medical statistics. | Recommended | Kirkwood, B. R., & Sterne, J. A. C. | 2ND EDN, BLACKWELL SCIENCE 2003. |
Graduate capabilities & intended learning outcomes
01. Recognise and understand different descriptive statistical tools used in public health
- Activities:
- Lectures, tutorials, individual and group work
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
02. Understand and apply appropriate statistical techniques to address research questions in public health
- Activities:
- Lectures, tutorials, individual and group work
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking)
03. Calculate and interpret relevant measures of centrality, variability, association and difference
- Activities:
- Lectures, tutorials, individual and group work
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking)
04. Evaluate findings from research studies by interpretation of relevant statistical tests
- Activities:
- Lectures, tutorials, individual and group work
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking)
City, 2016, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Bircan Erbas
Class requirements
Lecture/SeminarWeek: 10 - 18
Two 2.0 hours lecture/seminar per week on weekdays during the day from week 10 to week 18 and delivered via face-to-face.
"Equivalent to 32 face to face contact hours and 2 hour exam"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 2-hour exam | 40 | 01, 02, 04, 03 | |
| Individual assignment (equivalent to 1500 words) | 30 | 01, 02, 03, 04 | |
| Individual assignment (equivalent to 1500 words) | 30 | 01, 02, 03, 04 |