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Unit (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Quantitative Research for Business (MBS659)

Organisational Unit Business
Credit Points 3
Availability MURDOCH: S1-internal, S1-external, S2-internal, S2-external
KAPLAN-SGP: TJA-internal, TSA-internal
Teaching Timetables Murdoch S1
Murdoch S2
Description Statistics is a vital part of most decision-making processes. Both descriptive and inferential statistics are utilised to explain and interpret information. This unit introduces data analysis and decision-making tools for managers. Students identify situations in which quantitative analysis can support problem solving and decision making. They will gain experience in applying decision analysis techniques and statistical packages in management contexts. These include the modelling of business research problems, presenting descriptive measures of quantitative data and reporting statistical inferences.
Unit Learning Outcomes On successful completion of the unit students should be able to:
1. Demonstrate a critical understanding of a range of statistical terminologies and be able to compute basic statistics based on data collected or provided.
2. Apply appropriate statistical techniques relevant for decision-making processes in businesses and other organisations.
3. Use Hypothesis Testing in statistical analysis to answer research questions.
4. Produce and analyse statistical reports, and be able to defend the relevance of the various statistical reports for decision-making.
5. Produce statistical reports using computer software such as Excel; present the reports to an audience and be able to respond to queries about the reports in a professional manner.
6: Demonstrate a capacity to work collaboratively with team members including communication, project and time management skills.

Timetabled Learning Activities Workshops: 2.5 hours per teaching week for South Street Campus
All offerings of this unit include the equivalent of 30 hours of structured learning.
Unit Learning Experiences The unit is delivered using blended learning design features with core unit materials provided in a digital format followed up by small class knowledge application and skills development. This is enhanced by self directed learning to further develop skills and application of knowledge to practical and current issues. Active student participation is encouraged including student presentations.
Other Learning Experiences Understanding of knowledge and communication of the knowledge is vital for student learning. The program incorporates individual learning and team learning, which are displayed in workshop participations and presentations.
Assessment Participation 10%
Assignment 1 20%
Assignment 2 30%
Final Exam 40%
Prerequisites Enrolment in a graduate-level course.
Exclusions Students who have successfully completed MBS522/MBS622 Quantitative Methods for Business cannot enrol in this unit for credit.
Previously 2016: MBS622
Appears in these Courses/Majors:
see individual structures for context
Accounting Honours (BBus(Hons))
Banking Honours (BBus(Hons))
Finance Honours (BBus(Hons))
Management Honours (BBus(Hons))
Marketing Honours (BBus(Hons))
Graduate Certificate in Business Analytics (GradCertBusAnalyt) [New in 2019]
Master of Professional Accounting (Advanced) (MPA(Adv))
Master of Professional Accounting (MPA)
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.


Unit Coordinator
Dr Naser Alqaran Alziyadat
Honorary Research Associate

Murdoch Campus
t: 9360 1733
e: N.AlqaranAlziyadat@murdoch.edu.au
o: 440.3.019 - Social Sciences, Murdoch Campus
Unit Contacts

MURDOCH: S1-External
MURDOCH: S1-Internal
MURDOCH: S2-External
MURDOCH: S2-Internal
Dr Naser Alqaran Alziyadat
Honorary Research Associate

Murdoch Campus
t: 9360 1733
e: N.AlqaranAlziyadat@murdoch.edu.au
o: 440.3.019 - Social Sciences, Murdoch Campus
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