Type: | Postgraduate Subject |
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Code: | BUSN73-402 |
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 class is about extending your knowledge of statistics into the multivariate domain. Sampling from a subset of techniques that are commonly used in business fields and becoming proficient at identifying which techniques to use when. It is also about knowing when a technique is inappropriate, looking for violations of assumptions, diagnosing those violations and finding ways around them. Quantitative Methods provides a detailed understanding of the application of statistical methods in common use in business research. Multiple regression, correlation, and analysis of variance in terms of the general linear model are presented. An overall strategy for fitting and evaluating models to data using statistical applications packages is taught. Multivariate, non-linear, and non-parametric methods are introduced.
Subject details
Learning objectives
1. Understand quantitative research methodology applied to doctoral studies across a range of discipline areas. 2. Develop competency in particular tools and techniques applicable to research 3. Link theory with its practical implementation in the context of personal research directions 4. Discuss and critique research ideas with colleagues and seek feedback 5. Use Eviews and SPSS software to assist research activities
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. No Prior Knowledge Required |
Restrictions: |
This subject is not available to
Only available to HDR students This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure. |
Subject dates
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May 2022
Standard Offering - HDR Enrolment opens: 20/03/2022 Semester start: 16/05/2022 Subject start: 16/05/2022 Cancellation 1: 30/05/2022 Cancellation 2: 06/06/2022 Last enrolment: 29/05/2022 Withdraw - Financial: 11/06/2022 Withdraw - Academic: 02/07/2022 Teaching census: 10/06/2022
Standard Offering - HDR | |
---|---|
Enrolment opens: | 20/03/2022 |
Semester start: | 16/05/2022 |
Subject start: | 16/05/2022 |
Cancellation 1: | 30/05/2022 |
Cancellation 2: | 06/06/2022 |
Last enrolment: | 29/05/2022 |
Withdraw - Financial: | 11/06/2022 |
Withdraw - Academic: | 02/07/2022 |
Teaching census: | 10/06/2022 |