sta2asm applied statistical methods
APPLIED STATISTICAL METHODS
STA2ASM
2019
Credit points: 15
Subject outline
Building on the understanding of applied statistical methods developed in first year statistics subjects, STA2ASM provides an understanding of these methods at an intermediate level. The subject places a special emphasis on applications of statistics to biological and medical problems. There are specific questions in the assignments, project, test and examination that reflect such an emphasis. This subject does not require a knowledge of calculus. An introduction to the open source statistical computing package R is included.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorNatalie Karavarsamis
Available to Study Abroad StudentsYes
Subject year levelYear Level 2 - UG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites STA1PSY or STA1LS or STA1SS
Co-requisitesN/A
Incompatible subjects STA2AS, STA2MS, STA2RSP, STA2AMS, STA2ABS
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Applied Statistical Methods | Prescribed | Luke Prendergast 2018 | La Trobe University |
| Readings | Fundamentals of Biostatistics 8th Ed | Recommended | Rosner B, 2016 | CENAGE |
Graduate capabilities & intended learning outcomes
01. Apply appropriate statistical and probabilistic methods for data analysis.
- Activities:
- Discussed and demonstrated in lectures and lecture/workshops. Related problems solved by students in practice classes. Assignment questions, with feedback.
02. Discuss the importance of "thinking ahead" when planning and designing experiments.
- Activities:
- Discussed and demonstrated in lectures and lecture/workshops. Related problems solved by students in practice classes. Assignment questions, with feedback.
03. Execute statistical software functionality for data analysis and interpret the output accurately and meaningfully.
- Activities:
- Some discussion in lectures and lecture/workshops. Related problems solved by students in computer laboratory classes. Computer laboratory project, with guidance and feedback.
04. Assess the effectiveness of statistical methods using simulation.
- Activities:
- Some discussion in lectures and lecture/workshops. Related problems solved by students in computer laboratory classes. Computer laboratory project, with guidance and feedback.
05. Explain the codes of conduct that govern professional competence and integrity in the field of statistics.
- Activities:
- Discussed and demonstrated in lectures and lecture/workshops.
06. Formulate hypothesis testing related to biological and medical problems; draw and explain the conclusions that follow from a rigorous and systematic analysis.
- Activities:
- Discussed and demonstrated in lectures and lecture/workshops. Related problems solved by students in practice classes. Assignment questions, with feedback.
Subject options
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Melbourne, 2019, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorNatalie Karavarsamis
Class requirements
Lecture/WorkshopWeek: 10 - 22
One 1.0 hours lecture/workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Recorded on Echo"
LectureWeek: 10 - 22
One 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Recorded on Echo"
PracticalWeek: 11 - 22
One 1.0 hours practical per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Computer LaboratoryWeek: 11 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 2.5 hour exam | 55 | 01, 02, 05, 06 | |
| Four written assignments (equivalent to 200 words each, 800 words total) | 20 | 01, 02, 06 | |
| In-class computer test (equivalent to 600 words) | 15 | 03, 04 | |
| Statistical computing project (equivalent to 400 words) | 10 | 03, 04 |