t Test and ANOVA

https://www.youtube.com/watch?v=pTmLQvMM-1M&frags=pl%2Cwn T-test

• Signal/Noise
• Assumptions:
• Normal Distribution
• Similar Variance
• Same number of samples (20-30+)

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