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memex/1_daily/2016-11-17.org

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2016-11-17

Quants support   academia UoN

Describe your new note here.

Use ANOVA when you have more than two groups

Trimming is giving the outlier the highest normal value

Signifiance in Shapiro/Smirnov normality tests is not a good thing. It means the data is not normal (parametric)

For an indepdendent sample-t test you need homogeneity of variance (calculated with Laveene (looks at homogeniety of variance) test and Bartlets (looks at equality of variance) test)

For a Paired Sample's t-test you need

Sphereicity is data making sense, test that's the variants between participats is not too far apart

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