| Type: | Postgraduate Subject |
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| Code: | STAT71-111 |
| EFTSL: | 0.125 |
| Faculty: | Bond Business School |
| Semesters offered: |
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| Credit: | 10 |
| Study areas: |
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| Subject fees: |
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Description
This subject introduces students to fundamental quantitative theory and tools to support the data analysis and decision-making needs of modern organisations. This subject covers descriptive statistics, probability distributions, sampling, hypothesis testing and regression. This subject focuses on developing practical computational skills and systematic problem-solving capabilities to analyse and interpret data for various business problems and decisions. The tools and techniques introduced in this subject, including the use of spreadsheets for data management and analysis, can be applied to exploratory big data analysis.
Subject details
Learning outcomes
- Generate appropriate graphical displays and numerical summaries for different types of data.
- Apply probability rules and concepts relating to discrete and continuous random variables, to facilitate complex decision-making.
- Apply statistical inference techniques, including constructing interval estimates and performing hypothesis tests, to facilitate complex decision-making.
- Create statistical models, including multivariate models, to critically evaluate relationships between variables.
- Communicate statistical findings to both specialist and non-specialist audiences.
Enrolment requirements
| Requisites: |
Nil |
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| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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| Restrictions: |
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Subject dates
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January 2024
Standard Offering Enrolment opens: 12/11/2023 Semester start: 15/01/2024 Subject start: 15/01/2024 Cancellation 1: 29/01/2024 Cancellation 2: 05/02/2024 Last enrolment: 28/01/2024 Withdraw - Financial: 10/02/2024 Withdraw - Academic: 02/03/2024 Teaching census: 09/02/2024 -
September 2024
Standard Offering Enrolment opens: 14/07/2024 Semester start: 09/09/2024 Subject start: 09/09/2024 Cancellation 1: 23/09/2024 Cancellation 2: 30/09/2024 Last enrolment: 22/09/2024 Withdraw - Financial: 05/10/2024 Withdraw - Academic: 26/10/2024 Teaching census: 04/10/2024 -
January 2025
Standard Offering Enrolment opens: 10/11/2024 Semester start: 20/01/2025 Subject start: 20/01/2025 Cancellation 1: 03/02/2025 Cancellation 2: 10/02/2025 Last enrolment: 02/02/2025 Withdraw - Financial: 15/02/2025 Withdraw - Academic: 08/03/2025 Teaching census: 14/02/2025
| Standard Offering | |
|---|---|
| Enrolment opens: | 12/11/2023 |
| Semester start: | 15/01/2024 |
| Subject start: | 15/01/2024 |
| Cancellation 1: | 29/01/2024 |
| Cancellation 2: | 05/02/2024 |
| Last enrolment: | 28/01/2024 |
| Withdraw - Financial: | 10/02/2024 |
| Withdraw - Academic: | 02/03/2024 |
| Teaching census: | 09/02/2024 |
| Standard Offering | |
|---|---|
| Enrolment opens: | 14/07/2024 |
| Semester start: | 09/09/2024 |
| Subject start: | 09/09/2024 |
| Cancellation 1: | 23/09/2024 |
| Cancellation 2: | 30/09/2024 |
| Last enrolment: | 22/09/2024 |
| Withdraw - Financial: | 05/10/2024 |
| Withdraw - Academic: | 26/10/2024 |
| Teaching census: | 04/10/2024 |
| Standard Offering | |
|---|---|
| Enrolment opens: | 10/11/2024 |
| Semester start: | 20/01/2025 |
| Subject start: | 20/01/2025 |
| Cancellation 1: | 03/02/2025 |
| Cancellation 2: | 10/02/2025 |
| Last enrolment: | 02/02/2025 |
| Withdraw - Financial: | 15/02/2025 |
| Withdraw - Academic: | 08/03/2025 |
| Teaching census: | 14/02/2025 |