1.1 The task in one line
The main goal of this group project is for students to be able to communicate an explanatory analysis with an appropriate report.
You are not being asked to discover something nobody has ever known. You are being asked to take a question you care about, gather data on it yourself, choose visuals that answer it honestly, and write it up so a reader understands in ten pages or fewer.
1.2 At a glance
| Weight | 25% of the course |
| Group size | 3 members (maximum 4) |
| Tools | Google Spreadsheet or Power BI β your choice |
| Data | Primary data only β collected by your group |
| Objectives | Maximum 2, clearly defined and measurable |
| Content | Title Β· Abstract Β· Introduction Β· Methodology Β· Results Β· Conclusion Β· References (3β5) Β· Appendices (if any) |
| Format | Prescribed template Β· single spacing Β· maximum 10 pages |
| Briefed | Week 5 |
| Due | Week 14, with the presentation |
The report needs primary data: data your group collects yourselves, normally with a questionnaire. Downloading a ready-made file from DOSM or Kaggle is secondary data and does not satisfy this task. (Secondary data is allowed for the presentation β the two tasks have different data rules, so don't mix them up.)
1.3 Choosing your objectives
Two objectives, no more. Each one must be answerable with a table or a simple plot from the data you collected β if you cannot picture the chart, the objective is wrong.
Objective 1: To describe the demographic profile of the respondents.
Objective 2: To analyse anonymised student performance data (e.g. exam scores, attendance, GPA).
βTo compare average weekly study hours between first- and second-year diploma students at Kampus Raub.β β you know exactly what to measure, who to ask, and which chart (boxplot or clustered bar).
βTo study student life.β β nothing to count, nothing to plot, no way to tell whether you achieved it.
1.4 How the weeks fit together
- Week 5 β project briefed. Form your group, agree on a topic, draft the two objectives.
- Weeks 6β7 β build the questionnaire, pilot it on a few people, fix confusing questions, then start collecting.
- Weeks 8β11 β clean the responses and build your tables and charts as you learn Google Sheets and Power BI.
- Week 12 β supervision and group discussion. Bring your draft results β this is the week to catch problems.
- Week 13 β write and polish. Abstract last.
- Week 14 β submit the report and deliver the presentation.
Before you leave the lab: names of your 3β4 members, a one-sentence topic, and the two objectives written out in full. Show them to your lecturer. A weak objective in Week 5 becomes a weak report in Week 14.