Business Decision Making

10 Units

Quantitative techniques are frequently employed as essential research and analytical tools in accounting, financial and economic environments. This course provides an understanding of the quantitative techniques that are frequently used in accounting, financial and economic studies to aid business decision making. Statistical techniques such as data screening and descriptive techniques, inferential statistics, sampling, questionnaire and research design, hypothesis testing, analysis of variance and regression analysis are covered. Use is made of Microsoft Excel statistical package to analyse data sets and produce reports based on quantitative analyses. Participants will build increased competency in business communication skills and techniques.

Faculty Faculty of Business and Law
School Newcastle Business School
Availability Semester 1 - 2018 (Sydney Elizabeth Street)
Semester 2 - 2018 (Sydney Elizabeth Street)
Learning Outcomes

On successful completion of this course, students will be able to:

  1. Demonstrate an understanding of quantitative techniques that are frequently used in accounting and financial studies research;
  2. Design a quantitative study;
  3. Exhibit an awareness of the principles of hypothesis testing;
  4. Demonstrate an understanding of appropriate analytical strategies to test specific hypothesis;
  5. Use Microsoft Excel to conduct statistical analysis; and
  6. Report statistical findings in a clear and concise fashion.

The topics in the course include the following:

  1. data screening and descriptive techniques
  2. inferential statistics
  3. sampling
  4. questionnaire design
  5. research design
  6. hypothesis testing
  7. analysis of variance
  8. regression analysis
  • This course is only available to students enrolled in the Master of Professional Accounting, Master of Professional Accounting (Advanced), Master of Professional Accounting / Master of Business and M Prof Acct/M Bus Admin programs.
Assessment Items
  • Written Assignment: Individual Statistics Assignment
  • Project: Group Research Project
  • Formal Examination: Final Examination

Contact Hours

Sydney Elizabeth Street

Computer Lab

Face to Face On Campus 1 hour(s) per Week for Full Term


Face to Face On Campus 2 hour(s) per Week for Full Term

Timetable 2018 Course Timetables for PACC6008
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