In this subject, you will explore research methods, statistical analysis and data science techniques specific to sport and exercise science. You will be taught various research designs and statistical approaches that will allow you to interpret data to apply results in a practical environment. The subject will teach you how … For more content click the Read more button below.
In this subject, you will explore research methods, statistical analysis and data science techniques specific to sport and exercise science. You will be taught various research designs and statistical approaches that will allow you to interpret data to apply results in a practical environment. The subject will teach you how to perform various data handling techniques, develop statistical models and data visualisation techniques to interpret data in sport and exercise context.
Capstones provide students with a way of integrating and applying knowledge and skills gained throughout their course.
No
Academic progress review - Schedule A subject
No
Subject instances
To view instance specific details which include - Assessments, Class requirements and Subject instance coordinators - please select your preferred instance via the drop-down menu at the top right-hand side of this page.
Learning resources
Prescribed - Book - Statistics for sports and exercise science: a practical approach
Title:Statistics for sports and exercise science: a practical approach
Resource requirement:Prescribed
Author/editor:Newell, J., Aitchison, T., & Grant, S.
Year:2014
Publisher:Routledge
Prescribed - Web resource - Jamovi
Title:Jamovi
Resource requirement:Prescribed
Author/editor:Jamovi Project (Version 0.9)
Publisher:Jamovi
Career ready
Work based learning (placement):No
Graduate capabilities
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry
Subject intended learning outcomes
On successful completion you will be able to:
1.
Explain the difference between data types and research designs that are applicable to sport and exercise science.
2.
Apply data handling techniques to correctly treat and process data to provide a range of descriptive statistical outcomes.
3.
Select, apply and interpret various statistical tests to provide evidence-based recommendations.
4.
Appraise statistical designs and research literature within sport and exercise science.
5.
Apply a range of data visualisation techniques to demonstrate meaningful outcomes.
Requisite rules
Prerequisites: Students must be admitted in HBSES, HBESB or HZESPB and must have passed HLT1RAE All other enrolments require subject coordinator's approval
