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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.
|2019||Semester Two full semester||Distance|
|2019||Semester Two full semester||Internal||Manawatu Campus|
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