One Way Anova Test. Anova which stands for analysis of variance is a statistical test used to analyze the difference between the means of more than two groups. The anova tests the null hypothesis which states that samples in all groups are drawn from populations with the same mean values.
Where µ group mean and k number of groups. The one way anova compares the means between the groups you are interested in and determines whether any of those means are statistically significantly different from each other. In statistics one way analysis of variance is a technique that can be used to compare means of two or more samples.
Specifically it tests the null hypothesis.
Where µ group mean and k number of groups. In statistics one way analysis of variance is a technique that can be used to compare means of two or more samples. Revised on october 26 2020. This technique can be used only for numerical response data the y usually one variable and numerical or categorical input data the x always one variable hence one way.
