ANOVA is popularly known as analysis of variance. It was developed in the 1920s by a famous statistician called Robert Fisher. ANOVA is a collection of statistical tools that are used to draw significant conclusions about various data sets. Since 1920 this area has advanced in a higher dimension with new changes. Improvements have facilitated statisticians to infer meaningful findings across multiple research areas. For that reason, ANOVA has been incorporated as a universal module to students pursuing statistics as a major. It's an exciting area of study which demands a full understanding of what you are doing. You don't jump into questions, but you must have serious comprehension of data set facets. Which are vital basics you must know before tackling any problem related to ANOVA?
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