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ANOVA (Analysis of Variance)

ANOVA or Analysis of Variance is the most commonly used test hypotheses about 3 or more means. The null hypothesis of the test is that all 3 or more means are derived from the same population. A t-test with two sample is the special case of ANOVA. As there are many types of t-test, there are many types of ANOVA as well, the simplest one being One way ANOVA. Also, the t-test can only test two groups but ANOVA is not limited to two.

Like any other statistical test, there are assumptions for the test:

  • Data must be normally distributed.
  • Sigma/Standard deviation of any population in the model/datasets will be equal.

ANOVA is also known as F-test for after its developer Fisher.

Not complete yet!!! 🙂

SOURCE

http://www.psych.utah.edu/stat/introstats/web-text/1-ANOVA_indep/index.htm

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Categories: Statistics
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