STAT20070 Data Modelling for Science
This course is an introduction to some of the statistical methods used for analyzing data and draw conclusions, in application to medical, biological and scientific data. Core concepts will be presented using practical data examples, focusing on applications and critical evaluation.
Main topics covered:
- Introduction: What is Statistics? - Types of data - Tools for describing data.
- Probability and distributions: Basics - Binomial distribution - Normal distribution - Sampling distributions.
- Analysis of continuous data: Basics of inference - Inference for the mean - Comparing two samples.
- Analysis of categorical data: Inference for proportions - Analysis and inference of frequency tables.
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REVIEWSMODULE INFO
Great class, Garrett is a great lecturer and the tutorials were a life saver. Garrett gives lots of examples on the lecture slides and the final exam is almost exactly like past exam papers.
If you're not good at maths or statistics, Fabian the tutor will be your lifesaver - Please, please, go to every one of his tutorial and dont bunk any of them. A tutorial takes only one day and it can explain everything that Garrett taught you for a week. I know some tutorial time arrange may be shite but it really worth.
Vary handy module, they grade really nicely and help you out a lot during the tutorial (I recommend doing the tutorial sheets before the tutorials) end of the year exam looks like the past papers
REVIEWSMODULE INFO
Subject: Statistics & Actuarial Science
Level: 2
Module Coordinator: Dr Garrett Greene
Trimester: Autumn
Credits: 5
Module Info
Subject: Statistics & Actuarial Science
Level: 2
Module Coordinator: Dr Garrett Greene
Trimester: Autumn
Credits: 5