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Curricular information is subject to change
Learn how to interpret and calculate descriptive statistics.Learn to programme in R.Gain exposure to formal statistical testing.Gain exposure to the rationale behind hypothesis testing.Gain exposure to some common statistical models. Learn how to validate and compare statistical models.
|Student Effort Type||Hours|
|Computer Aided Lab||
|Autonomous Student Learning||
Basic statistics; types of random variable, simple summary statistics, etc.
|Description||% of Final Grade||Timing|
|Continuous Assessment: Three assignments.||
|Throughout the Trimester|
This module is not passable by compensation
If you fail this module you may repeat, resit or substitute where permissible
|Dr Michael Salter-Townshend||Lecturer / Co-Lecturer|
|Dr Guillermo Vinué||Lecturer / Co-Lecturer|