Answer: Null hypothesis gets rejected.
Explanation:
ANOVA is an acronym use for Analysis of Variance.
It is a statistical method which is specifically designed to analyze for a significant relationship or difference between two or more samples.
It basically compares :-
- Variances between the samples.
- Variances within the samples.
Anova allows us to determine whether the variance between samples is greater than the variance within the samples or not .
In the beginning of Anove we declare null hypothesis = There is no difference between the population means and alternative hypothesis = There is statistical difference between the population means.
If variance between samples is larger than the variance within the samples , then it means there is difference between the sample means.
⇒ The null hypothesis gets rejected.