EXPLAINER-TECHNICAL - Anova Testing
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Analysis of variance or a nova is a tool used in statistics that works by splitting variability within a data set into two parts. Systematic factors and random factors. Systematic factors have a statistical influence on the data set. While random factors do not, the A Nova test is used in regression studies to determine the influence independent variables have on the dependent variable. You'll also hear a Nova called the Fisher analysis of variants. It's the extension of the earlier T and Z tests to calculate the Anova coefficient use the formula F equals the mean sum of squares due to treatment over the mean sum of squares due to error. The result also called the F ratio allows for the comparison of multiple groups of data to identify variants between or within samples. This is what's called a null hypothesis.