One-way analysis of variance

In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique that can be used to compare whether two samples means are significantly different or not (using the F distribution). This technique can be used only for numerical response data, the "Y", usually one variable, and numerical or (usually) categorical input data, the "X", always one variable, hence "one-way".

One-way analysis of variance

In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique that can be used to compare whether two samples means are significantly different or not (using the F distribution). This technique can be used only for numerical response data, the "Y", usually one variable, and numerical or (usually) categorical input data, the "X", always one variable, hence "one-way".