29 lines
824 B
Org Mode
29 lines
824 B
Org Mode
:PROPERTIES:
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:ID: b1909faf-d166-4778-8ea8-8c9a8281ec7a
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:END:
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#+title: 2016-11-17
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* Quants support :academia:UoN:@personal:
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:PROPERTIES:
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:CREATED: [2016-11-17 Thu 15:02]
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:MODIFIED: [2016-11-17 Thu 15:56]
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:IMPORTED: [2023-02-08 Wed 19:22]
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:END:
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Describe your new note here.
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Use ANOVA when you have more than two groups
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Trimming is giving the outlier the highest normal value
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Signifiance in Shapiro/Smirnov normality tests is not a good thing. It means the data is not normal (parametric)
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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)
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For a Paired Sample's t-test you need
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Sphereicity is data making sense, test that's the variants between participats is not too far apart
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*en_GB
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