Non Parametric Tests

Question 1

Parametric Statistics

Answer 1

Most common type of inferential statistics

• -mathematically fully described, except for a few unknown parameters
• -ordinal data: assuptions not meaningful

Question 2

Non-parametric statistics

Answer 2

Alternatives to parametric statistics

• -“Naive” approach: Far fewer assumptions about data
• -Work in wider variety of situations

Question 3

Ordinal Data

Answer 3

Some variables have ordered values but are not as well defined as interval/ ratio variables

• -More structure than nominal data
• -non- linear measures

Question 4

Spearman Correlation

non parametric test

Answer 4

Alternative to pearson

• -produces correlation between -1 and 1
• -convert data on each variable to ranks
• -fore ach subject, find rank on X and rank on Y within sample

Question 5

Mann Whitney Test

Non parametric tests

Answer 5

Alternative to independent samples T
–combine groups and rank-order all scores
test statistic U

Question 6

Wilcoxon Test

Answer 6

Alternative to single or paired samples T-test

Question 7

Kruskl - Wallis Test

Answer 7

Alternative to simple ANOVA

–

Question 8

Friedman Test

Answer 8

Alternative to repeated-measures ANOVA

–measures the sum of ranks

Question 9

List of Parametric Tests

Answer 9

Pearson Correlation
Independent-Samples T
SIngle or paired samples t
SImple ANOVA
Repeared measures anova