Overview
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Academic contacts
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Offerings
KAPLAN-SGP-TJA-MIXEDMODE-2026-2026
KAPLAN-SGP-TMA-MIXEDMODE-2025-2025
KAPLAN-SGP-TSA-INT-2024-2024
KAPLAN-SGP-TSA-MIXEDMODE-2026-2026
MURDOCH-S1-FACE2FACE-2025-ONGOING
MURDOCH-S1-ONLINEFLEX-2025-ONGOING
MURDOCH-S2-EXT-2023-2024
MURDOCH-S2-FACE2FACE-2025-ONGOING
MURDOCH-S2-INT-2023-2024
MURDOCH-S2-ONLINEFLEX-2025-ONGOING
Requisites
Prerequisite
Exclusion
Enrolment rules
Students who have completed MAS223 Applied Statistics require permission of the Academic Chair to enrol.
Prior studies equivalent to MAS183 Statistical Data Analysis OR ICT583, OR MBS659 Quantitative Research for Business.
Data Science Applications and enrolment in a Graduate IT course or permission of the Academic Chair.
Other learning activities
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Learning activities
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Learning outcomes
1.
Perform a variety of statistical analyses with statistical software applying a variety of specific experimental design or modelling approaches.
2.
Explain conceptually the various statistical methods covered in the unit, the correct application of these methods, and interpret statistical software output.
3.
Solve a real life research question by statistical analyses.
4.
Illustrate the statistical analyses output using a comprehensive technical report and excecutive summary for non-technical audience.
Assessments
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Additional information
Unit content:Topics covered in this unit include:
· Descriptive statistics, graphical displays, and data cleaning
· Sampling distributions, the boostrap, and the jackknife
· Linear regression and modelling for inferential purposes
· Model prediction
· Principal component analysis,
· Discriminant analysis
· Cluster analysis
Select additional topics.