sta2asm applied statistical methods
APPLIED STATISTICAL METHODS
STA2ASM
2020
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.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorDavid Farchione
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesSTA1SS OR STA1LS OR STA1PSY
Co-requisitesN/A
Incompatible subjectsSTA2AMS OR STA2RSP OR STA2AS OR STA2ABS
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Fundamentals of Biostatistics
Resource TypeBook
Resource RequirementRecommended
AuthorRosner B
Year2016
Edition/Volume8th Ed
PublisherCENAGE
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Applied Statistical Methods
Resource TypeBook
Resource RequirementPrescribed
AuthorLuke Prendergast
Year2018
Edition/VolumeN/A
PublisherLa Trobe University
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDavid Farchione
Class requirements
Computer LaboratoryWeek: 11 - 22
One 1.00 hour computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Recorded on Echo
Lecture/WorkshopWeek: 10 - 22
One 1.00 hour lecture/workshop 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 1.00 hour practical per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
2 hour exam (equivalent to 2000 words) | N/A | N/A | No | 55 | SILO1, SILO2, SILO5, SILO6 |
Four written assignments (equivalent to 200 words each, 800 words total) | N/A | N/A | No | 20 | SILO1, SILO2, SILO6 |
In-class computer test (equivalent to 600 words) | N/A | N/A | No | 15 | SILO3, SILO4 |
Statistical computing project (equivalent to 400 words) | N/A | N/A | No | 10 | SILO3, SILO4 |