Business Decision Making

Course code PACC6008
Available in 2015
2015 Course Timetables

Description

The effective business decision making ensures sustainability in business. Quantitative techniques are frequently employed as essential research and analytical tools in accounting, financial and economic environments. This course provides an understanding of the qualitative and 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, regression analysis and factor analysis are covered. Use is made of SPSS statistical package to analyse data sets and produce reports based on qualitative and quantitative analyses. Participants will build increased competency in business communication skills and techniques.

Availability

Sydney Bathurst Street

  • Semester 1 - 2015
  • Semester 2 - 2015

Learning Outcomes

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.

Content

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
  9. factor analysis

Requisites

This course is only available to students enrolled in the Master of Professional Accounting, Master of Professional Accounting (Advanced) and Master of Professional Accounting / Master of Business programs.

Assessment Items

Written Assignment: Individual Statistics Assignment

Project: Group Research Project

Formal Examination: Final Examination

Contact Hours

Computer Lab

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

Lecture

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