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In most statistics books there will often be a reference to two types of statistical techniques namely ‘parametric’ and ‘non-parametric’.

In this seminar we explore the difference between the two techniques and focus on why the distinction is important.

The word ‘parametric’ comes from ‘parameter’ or characteristic of a population. Tests such as t-test and ANOVA have assumptions about the shape of the population distribution that need to be met (i.e. normality) whereas non-parametric techniques are distribution-free because they do not make any assumptions about the distribution of the population. The advantages and disadvantage of non-parametric techniques will be examined.

Non-parametric techniques are ideal when you have ordinal (ranked) or nominal (categorical) scales. They are also useful when you have small sample sizes or when you have violated the assumptions of parametric techniques


When:
Thursday 23 November 2017, 10:00am - 12:00pm

Where:
Building P, P228, Footscray Park

Presenter(s):
Dr Anna Kokavec

Register:

Register for Statistics Seminar: Chi-square & non-parametric tests using your MYVU Portal login.

For more information about this session please email Researcher.Development@vu.edu.au

For / category:
Graduate researchers, Research fundamentals, Research methodology & analysis

Upcoming sessions

Oct
24
10:00am - 12:00pm, City Flinders Room FS1106, City Flinders.
Oct
24
2:30pm - 4:30pm, Building P, P412, Footscray Park.
Oct
25
9:30am - 12:30pm, Building A, A330, Footscray Park.
Oct
26
11:00am - 1:30pm, Footscray Park Library Training Room, Building P, P307, Footscray Park.
Oct
27
1:00pm - 3:30pm, Footscray Park Library Training Room, Building P, P307, Footscray Park.