Non parametric tests Flashcards

1
Q

Why use non parametric tests

A

Less assumptions but less power

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2
Q

What does error does non parametric test cause

A

Type 2

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3
Q

Why use ranked data

A

Gets rid of outliers and skew

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4
Q

What is the test statistic if unequal groups

A

Sum of ranks with least people

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5
Q

What is the test statistic if equal groups

A

Smaller sum of ranks

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6
Q

Wilcoxon-sum rank/ Mann Whitney

A

Independent t-test

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7
Q

Independent t-test non-parametric version

A

Wilcoxon-sum rank/ Mann Whitney

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8
Q

Wilcoxon-signed rank test

A

Dependent t-test

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9
Q

Dependent t-test non-parametric version

A

Wilcoxon-signed rank test

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10
Q

Wilcoxon-signed rank test how to calculate

A

Add up positive ranks then negative ranks

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11
Q

Kruskal- Wallis test

A

Independent ANOVA

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12
Q

How to calculate Kuskal-Wallis

A

Ranks are independent of group then compared to chi2 tables can be followed up with pair-wsie comparisons (Man-Whitney)

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13
Q

Jonckheere-Terpstra

A

Trend testing, tests for ordered patterns

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14
Q

Independent ANOVA non-parametric version

A

Kruskal-Wallis

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15
Q

Trend testing non-parametric version

A

Jonckheere-Terpstra

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16
Q

Friedman’s ANOVA

A

Between ANOVA

17
Q

Between ANOVA non parametric version

A

Friedman’s ANOVA

18
Q

Calculate Friedman’s ANOVA

A

Look at values within the ppt then compare to chi2 tables

19
Q

Spearman Rho

A

Pearson’s correlation

20
Q

Kendall’s tau

A

Pearson’s correlation with small samples