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HSH946 - Biostatistics 1

Year:	2022 unit information
Important Update:	Unit delivery will be in line with the most current COVIDSafe health guidelines. We continue to tailor learning experiences for each unit to achieve the best possible mix of online and on-campus activities that successfully blend our approaches to learning, working and research. Please check your unit sites for announcements and updates. ^{Last updated: 4 March 2022}
Enrolment modes:	Trimester 1: Burwood (Melbourne), Cloud (online) Trimester 3: Burwood (Melbourne), Cloud (online)
Credit point(s):	0
EFTSL value:	0.000
Unit Chair:	Trimester 1: Julie Abimanyi-Ochom Trimester 3: Lan Gao
Prerequisite:	Nil
Corequisite:	Nil
Incompatible with:	HSH746
Scheduled learning activities - campus:	Online independent and collaborative learning including 1 x 2 hours face to face or online computer practical each week
Scheduled learning activities - cloud:	Online independent and collaborative learning including 1 x 2 hour online computer practical each week

Content

In this introductory unit on biostatistics, students will explore the philosophical basis of statistical thought, examine fundamental statistical concepts and methods and explore their application in a variety of health settings. The delivery of the Unit is designed to facilitate the syntheses of the basic components of learning through practical exercises, statistical computing labs and the application of biostatistical techniques to realistic health-related data. The main topic areas covered will include: descriptive statistics, hypothesis testing, confidence intervals, comparison of means, inference on proportions, contingency tables, correlation and basic regression concepts.

ULO	These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can:	Deakin Graduate Learning Outcomes
ULO1	Identify the basic data types and summarise them.	GLO1: Discipline-specific knowledge and capabilities
ULO2	Critique basic sample designs.	GLO1: Discipline-specific knowledge and capabilities
ULO3	Apply basic statistical analysis techniques using statistical software and interpret the results.	GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy
ULO4	Calculate and interpret confidence intervals.	GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy
ULO5	Apply regression techniques to study the association between variables.	GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy
ULO6	Conduct a statistical analysis which integrates different statistical techniques and interpret the results.	GLO1: Discipline-specific knowledge and capabilities GLO2: Communication GLO4: Critical thinking GLO5: Problem solving GLO6: Self-management

Assessment

Trimester 1:

Assessment description	Student output	Grading and weighting (% total mark for unit)	Indicative due week
Assessment 1: Data manipulation and analysis	Equivalent to 1000 words	20%	Week 5
Assessment 2: Data manipulation, analysis and interpretation	Equivalent to 1500 words	30%	Week 9
Assessment 3: Examination	2 hours	50%	Examination period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Learning Resource

There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.

Unit Fee Information

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