One way Analysis of Variance (ANOVA) is a statistical technique commonly used to compare means of two or more samples using variance. Here the null hypothesis is that the all population means are equal, while the alternative hypothesis is that at least one mean is different from the rest.
It is assumed that the populations are normally or approximately normally distributed, the samples are all independent and that the variances of the populations are equal. The summary table is obtained which gives the F statistic:
SS 
Df 
MS 
F 

Between 
SS(B) 
k1 
SS(B) 
MS(B) 
Within 
SS(W) 
Nk 
SS(W) 
. 
Total 
SS(W) + SS(B) 
N1 
. 
. 
Steps:
, where N is total sample size.
If value of F is greater than 1, it signifies a greater chance of rejection of the null hypothesis.