Skip to Content
The theory behind statistical modelling, and its links to practical applications. The course covers: basic probability and random variables, models for discrete and continuous data, estimation of model parameters, assessment of goodness-of-fit, model selection, confidence interval and test construction.
Note(s): Access to a computer with an approved statistics package is required for analysis of data.
|2018||Semester Two full semester||Internal||Manawatu Campus|
|2018||Semester Two full semester||Distance|
Page authorised by Director, Student Administration