|Student Contribution Band:||Band 1|
|Administered by:||College of Science and Engineering|
This subject will introduce students to practical applications and concepts involved in advanced statistical modelling in SAS. Topics include: linear modelling with multiple predictor variables that may be continuous or categorical in nature; Conditional Probability and the odds ratio; drawing inferences; checking model diagnostics and model selection; techniques for coping with data that are temporally or spatially correlated.
|Prerequisites:||MA5820 AND 12CP OF POSTGRADUATE SUBJECTS|
|JCU Online, Study Period 83, External|
|Census Date 19-May-2022|
The student workload for this 3 credit point subject is approximately 130 hours.
|Method of Delivery:||Online - JCU|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.