|Short Description:||Statistics for Quant Research|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Sciences|
|Student contribution band :||Band 1|
|ASCED code :||010103 - Statistics|
|Grading basis :||Graded|
|Version produced :||25 February 2021|
Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed.
It is recommended that students enrolling in this course have basic computing and numeracy skills.
This course focuses primarily on the graphical and numerical methods of data analysis including descriptive and inferential statistics for post-graduate students. Emphasis is on the understanding of the concepts and principles associated with statistical methods and skills required for the analysis of real-life for quantitative studies. Core components of the course include the use of a popular statistical software package (SPSS) and the development of problem-solving skills relevant to many disciplines. However, the mathematical underpinnings of the methods are not covered in detail in this course; other statistics courses cover this aspect.