phe5ist biostatistics
BIOSTATISTICS
PHE5IST
2017
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
SchoolSchool of Psychology & Public Health
Credit points15
Subject Co-ordinatorBircan Erbas
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/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)
Subject options
Select to view your study options…
City, 2017, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBircan 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 |