Data are constantly being captured, but variability makes processing these data challenging. Statistics is the science and art of making decisions in the presence of variability. This subject provides a foundation to statistics. It includes an introduction to data science, inferential statistics as well as Bayesian statistics. The subject's orientation is towards the sciences and covers both experimental and observational data including big data. The emphasis is on understanding, critically evaluating and then reflecting on a range of vital statistical concepts and applying acquired skills to data interpretation, management and modelling by using modern software package.
HD/FL
One session
School of Computing, Mathematics and Engineering
Available to postgraduate and honours students only.
Students who have completed STA201 or STA401 may not enrol in STA501. This is because a significant component of material covered in STA501 is similar to material they have already studied in STA201 or STA401.
STA201 Subject contains approximately 75% overlap of content. Subjects are similar in content and context and so are incompatible.
QBM100 Subject contains approximately 50% overlap of content. Subjects are sufficiently different in content and context to both be studied.
QBM120 Subject contains approximately 40% overlap of content. Subjects are sufficiently different in content and context to both be studied.
STA401 Subject contains approximately 75% overlap of content. Subjects are similar in content and context and so are incompatible.
QBM117 Subject contains approximately 40% overlap of content. Subjects are sufficiently different in content and context to both be studied.
STA201, STA401
The following table summarises the assessment tasks for the online offering of STA501 in Session 2 2021. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.