Statistics: On Analysis of Variance (AnoVa – Part One)

This week, as promised, Kyle T. introduces the extension of the t-Test, the Analysis of Variance (AnoVa), meant for comparisons among more than two participant groups. His explanations of the AnoVa tie onto the heart of the test, discerning the variance within groups from the variance between groups; he turns to information theory for its descriptive analogy, educing a signal from noise.

Next week: A brief continuation of explaining the AnoVa, including graphs!

Warmly yours,

The Veritas Team

By admin | April 19th, 2011 | No Comments »

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