non-parametric tests Flashcards
1
Q
what is the central limit theorem
A
as sample size increases, sampling distribution is normally distributed & mean is population mean
2
Q
overview of non parametric tests
A
also known as ranking data (we replace a value in the dataset by its rank (position) after we sort the data)
Non-parametric tests make fewer assumptions about the population from which the sample has been drawn
They are less fussy about the type of data, e.g. we can use data from a Likert scale
We also use these tests under circumstances when assumptions of symmetry (normal distribution) are violated
\In order to analyse our data, we conduct ranking
Significance testing conducted on ranked data
data is not interval or ratio
3
Q
wilcoxon = matched
mann-whitney = paired
A
