Course Details in 2024/25 Session

Module Title	LM Nonparametric Statistics
School	Mathematics
Department	Mathematics
Module Code	06 40204
Module Lead	TBC
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-24 hours Guided independent study-76 hours Total: 100 hours
Exclusions
Description	This module offers an overview of nonparametric statistics. It aims to familiarise students with a broad range of topics. Emphasising practical application, the module covers various topics including levels of measurement, comparisons between two independent or dependent populations, goodness-of-fit tests, nonparametric analysis of variance, and correlation. It also coves the estimation of distribution functions, bootstrap methods, kernel density estimation, and nonparametric regression.
Learning Outcomes	By the end of the module students should be able to: Identify when to use a nonparametric method.  Apply and implement different nonparametric methods in estimation, testing, model fitting, and in analyses.  Formulate, test and interpret various hypothesis tests for location, scale, and independence  Problems.  20.4 Use statistical methods, including nonparametric bootstrapping, to construct and interpret  interval estimators for population medians and other population parameters based on rank-based  methods.  20.5 Produce and interpret statistics and graphs, using nonparametric density estimation.
Assessment
Assessment Methods & Exceptions	Assessment: 80% examination, 20% coursework. Reassessment: Resit exam
Other
Reading List