Program Overview

MAS183 - Statistical Data Analysis

Overview

This unit is built around the topics of good-quality data collection, descriptive statistics, statistical inference, and identifying misleading graphics.

Offerings

The following offerings are available for this unit:

• KAPLAN-SGP-TJA-MIXEDMODE-
  • Teaching period code: Trimester-TJA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Mixed Mode
  • Start year: 2027
  • End year: 2027
  • Self enrol: No
• KAPLAN-SGP-TMA-MIXEDMODE-
  • Teaching period code: Trimester-TMA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Mixed Mode
  • Start year: 2026
  • End year: 2026
  • Self enrol: No
• KAPLAN-SGP-TMA-MIXEDMODE-
  • Teaching period code: Trimester-TMA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Mixed Mode
  • Start year: 2028
  • End year: 2028
  • Self enrol: No
• KAPLAN-SGP-TSA-MIXEDMODE-
  • Teaching period code: Trimester-TSA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Mixed Mode
  • Start year: 2025
  • End year: 2025
  • Self enrol: No
• KAPLAN-SGP-TSA-MIXEDMODE-
  • Teaching period code: Trimester-TSA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Mixed Mode
  • Start year: 2027
  • End year: 2027
  • Self enrol: No
• MURDOCH-S1-FACE2FACE-2025-ONGOING
  • Teaching period code: Semester 1-S1
  • Location: Murdoch
  • Attendance mode: Face to Face
  • Start year: 2025
  • End year: -
  • Self enrol: Yes
• MURDOCH-S1-ONLINEFLEX-
  • Teaching period code: Semester 1-S1
  • Location: Murdoch
  • Attendance mode: Online Flexible
  • Start year: 2025
  • End year: 2025
  • Self enrol: Yes
• MURDOCH-S1-ONLINESCHD-2026-ONGOING
  • Teaching period code: Semester 1-S1
  • Location: Murdoch
  • Attendance mode: Online Scheduled
  • Start year: 2026
  • End year: -
  • Self enrol: Yes
• MURDOCH-S2-FACE2FACE-2025-ONGOING
  • Teaching period code: Semester 2-S2
  • Location: Murdoch
  • Attendance mode: Face to Face
  • Start year: 2025
  • End year: -
  • Self enrol: Yes
• MURDOCH-S2-ONLINEFLEX-
  • Teaching period code: Semester 2-S2
  • Location: Murdoch
  • Attendance mode: Online Flexible
  • Start year: 2025
  • End year: 2025
  • Self enrol: Yes
• MURDOCH-S2-ONLINESCHD-2026-ONGOING
  • Teaching period code: Semester 2-S2
  • Location: Murdoch
  • Attendance mode: Online Scheduled
  • Start year: 2026
  • End year: -
  • Self enrol: Yes

Learning Outcomes

Upon completion of this unit, students will be able to:

1. Use descriptive techniques to summarize and interpret data;
2. Apply probability concepts relating to diagnostic testing and sampling distributions;
3. Apply hypothesis testing and interval estimation to diverse types of data;
4. Recognize the relative statistical quality of data;
5. Assess the extent to which statistical analyses may (or may not) be valid;
6. Perform statistical analyses using computer software;
7. Communicate the content and conclusions of basic statistical analyses.

Unit Content

This unit covers the following topics:

• Good-quality data collection: The underlying ideas on sampling and processes to support good quality data collection.
• Descriptive statistics: types of data; numerical and graphical description of data; comparing data in multiple groups; describing bivariate data.
• Statistical Inference: basic inference techniques (estimations and hypothesis testing) for one mean, two means, multiple means (ANOVA) and regression analysis.
• Misleading graphics: An introduction to how visual elements like axis manipulation, selective data presentation, and exaggerated scaling can make graphics misleading and affect data interpretation.

Additional Information

• MAS183 assumes fluency in mathematics at about the level of Year 10 in Australian high schools.
• Students enrolling in MAS183 are invited to do a Maths Diagnostic Quiz which will refer them to maths learning support if this may be helpful.

Unit Details

• Unit version: 28
• Version start date: 01/01/2026
• End date: 31/12/2025
• Owning college: College of Science, Technology, Engineering and Mathematics
• Owning school: Mathematics, Statistics, Chemistry and Physics
• Credit points: 3