ETM1030 Mathematical statistics
Faculty of Business and Economics
ETM1030 Mathematical statistics is a level 1, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 1 and Semester 2 at Malaysia. It has no prerequisites and unlocks 7 units, leading on to 53 units in all.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Malaysia
- Assessment
- Exam 40%
- and 2 other tasks
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before ETM1030
Prohibitions
You can't enrol if you have passed any of these.
- ETB1100Business statisticsNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETW2001Foundations of data analysis No reviews yet
- ETX1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
After ETM1030
7 units list ETM1030 as a prerequisite or corequisite.
- ETM2100Principles of statistical inference No reviews yet
- ETM2110Risk and survival modelling No reviews yet
- ETM2200Time series analysis and stochastic processesNo reviews yet
- ETM2550Actuarial mathematics 1No reviews yet
- ETM3800Text analytics for businessNo reviews yet
- ETW2500Unsupervised learning for businessNo reviews yet
- ETW3482Data mining and predictive modellingNo reviews yet
Overview
In this unit, you will be exposed to a comprehensive study of statistical methods and data analysis. Specifically, you will be introduced to the essential concepts and techniques in probability and statistical methods to equip you with the skills needed to extract meaningful insights from data. You will be given a robust foundation in data analysis, probability distributions, generating functions, joint distributions, conditional expectation, and the central limit theorem. The curriculum extends to cover crucial aspects of statistical inference, including sampling, point estimation, confidence intervals, hypothesis testing, the concepts of Bayesian statistics, and Bayesian estimators, and the applications of these methods in solving real-world problems.
Upon unit completion, you will develop the ability to apply statistical methodologies in practical scenarios which will prepare you for the challenges of actuarial analytics and provide sufficient expertise for use in various later units.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Artefact30%
- Quiz / Test30%
- Examination40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
use appropriate statistical analysis, descriptive statistics and graphical presentation to summarise data
- 2
describe the essential features of statistical distributions
- 3
apply the principles of statistical inference
- 4
apply the fundamental concepts of Bayesian statistics to compute Bayesian estimators.
Workload and teaching
- Tutorials24 hours
- Teaching approachActive learning
- Teaching approachProblem-based learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Contacts
- Chief Examiners
- Shio Gai Quek
- Shin Zhu Sim
Common questions
What are the prerequisites for ETM1030?
ETM1030 has no prerequisites.
What can I take after ETM1030?
ETM1030 is a prerequisite or corequisite for 7 units, including ETM2100, ETM2110, ETM2200, ETM2550, ETM3800 and ETW2500. Those lead on to 53 units in all.
When is ETM1030 offered?
In 2027, ETM1030 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETM1030?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETM1030 have an exam?
Yes. The exam is worth 40% of the final mark, alongside 2 other tasks.