RESEARCH METHODOLOGY

Detailed explanation-1: -Analysis of variance (ANOVA) is an inferential method used to test the equality of three or more population means. This method is also referred to as single-factor ANOVA because we use a single property, or characteristic, for categorizing the populations.

Detailed explanation-2: -ANOVA is used to compare differences of means among more than two groups. It does this by looking at variation in the data and where that variation is found (hence its name). Specifically, ANOVA compares the amount of variation between groups with the amount of variation within groups.

Detailed explanation-3: -One-Way ANOVA ("analysis of variance") compares the means of two or more independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. One-Way ANOVA is a parametric test.

Detailed explanation-4: -The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of two or more independent (unrelated) groups (although you tend to only see it used when there are a minimum of three, rather than two groups).