Anova is a statistical test which analyzes variance. It is helpful in making comparison of two or more means which enables a researcher to draw various results and predictions about two or more sets of data. Anova test includes one-way anova, two-way anova or multiple anova depending upon the type and arrangement of the data. One-way anova has the following test statistics:
$F$ = Anova Coefficient
$MST$ = Mean sum of squares due to treatment
$MSE$ = Mean sum of squares due to error.Formula for MST is given below:
$SST$ = Sum of squares due to treatment
$p$ = Total number of populations
$n$ = Total number of samples in a population.
Formula for MSE is given below:
$SSE$ = Sum of squares due to error
$S$ = Standard deviation of the samples
$N$ = Total number of observations.