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DATA ANALYSIS (R)

Module code: ST861T
Credits: 5
Semester: 1
Department: MATHEMATICS AND STATISTICS
International:

	Overview
	Module Objective: The course is case-study based and involves lots of practical work using R. Exploratory data analysis: summaries and graphics. Mosaic plots. Fisher’s exact test. Calculating probabilities, quantiles. Assessing Normality, Normal probability plots. Transformations. Simulation of CLT. Analysing data using one and two sample t-tests and confidence intervals. Correlation, simple linear regression inference and anova. Lectures and tutorials as for ST361.

Overview

Module Objective:
The course is case-study based and involves lots of practical work using R. Exploratory data analysis: summaries and graphics. Mosaic plots. Fisher’s exact test. Calculating probabilities, quantiles. Assessing Normality, Normal probability plots. Transformations. Simulation of CLT. Analysing data using one and two sample t-tests and confidence intervals. Correlation, simple linear regression inference and anova.
Lectures and tutorials as for ST361.

	Learning Outcomes
	On successful completion of the module, students should be able to: Analyse data using R. Write statistical reports. Analyse data using standard parametric and non-parametric methods. Display data using graphical methods. Fit, interpret and predict from simple linear regression models.

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? No

	Pre-Requisites
	Registered Research student. Permission is required from the Head of the Mathematics & Statistics Department.

	Timetable
	This timetable is not currently available, please contact the Mathematics And Statistics Department.