A Simple Introduction to ANOVA
Introduction
Buying a new product or testing a new technique but not sure how it stacks up against the alternatives? It’s an all too familiar situation for most of us. Most of the options sound similar to each other so picking the best out of the lot is a challenge.
Consider a scenario where we have three medical treatments to apply on patients with similar diseases. Once we have the test results, one approach is to assume that the treatment which took the least time to cure the patients is the best among them. What if some of these patients had already been partially cured, or if any other medication was already working on them?
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In order to make a confident and reliable decision, we will need evidence to support our approach. This is where the concept of ANOVA comes into play.
In this article, I’ll introduce you to what is anova, objectives of anova, anova statistical test, anova test example, and the different ANOVA techniques used for making the best decisions. We’ll take a few cases and try to understand the techniques for getting the results. We will also be leveraging the use of Excel to understand these concepts. You must know the basics of anova statistics to understand this topic. Knowledge of t-tests and Hypothesis testing would be an additional benefit.
And we believe the best way to learn statistics is by doing. That’s the way we follow in the ‘Introduction to Data Science‘ course where we provide a comprehensive introduction to statistics — both descriptive and inferential.
So, let’s begin!
