Introduction to Non-Parametric Methods – ONLINE

Course details

statistics seminar | level: intermediate | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

This seminar is about Introduction to non-parametric methods:
The t-test is robust with respect to assumptions about normality and equi-variance and thus is widely applicable.
There is another class of methods : non-parametric tests- more suitable for data that come from skewed
distributions or have a discrete or ordinal scale. Nonparametric tests such as the sign and Wilcoxon rank-sum tests
relax distribution assumptions and are therefore easier to justify, but they come at the cost of lower sensitivity
owing to less information inherent in their assumptions. For small samples, the performance of these tests is also
constrained because their P values are only coarsely sampled and may have a large minimum. Both issues are
mitigated by using larger samples.

Prerequisites

Basic statistics

Background readings

Fee

Free

Venue

Oline course.

Instructor

Emmanuel Abatih