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t Test and ANOVA

Ankit Jha edited this page Jun 19, 2018 · 3 revisions

https://www.youtube.com/watch?v=0Pd3dc1GcHc#action=share

The t score is a ratio between the difference between two groups and the difference within the groups.

ANOVA

ANOVA test assumes three things:

The population sample must be normal The observations must be independent in each sample The population the samples are selected from have equal variance a.k.a. homogeneity of variance.

https://keydifferences.com/difference-between-t-test-and-anova.html

MindMap

Decision Trees

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