Suppose in a Pharmaceutical Company, QA officer collects a two sample groups (A and B) each of 10 tablets to measure the dissolution rate of a drug. We can compare which of these types have a better dissolution rate and hence we able to choose the best one. Here, we apply a two-sample t-test.

By now we know the basic concepts of sample tests, when we have one sample, we use one sample t-test and when we have two sample groups, we use two-sample t-test. Isn’t it simple?

In many real-life scenarios, we will have more than two sample groups say three or four sample groups then “What can we do?” In this case, ANOVA comes into play. Finally……right

ANOVA (known as Analysis of Variance) is a technique which is used to check whether the means of two or more sample groups are statistically different or not.

Suppose in the Healthcare Industry, we can use the ANOVA test to compare different medications and the effect on patients. If a company has 3 different medications for treating ulcers and by using ANOVA, we can determine the effectiveness of treating them. We can compare which medication works better for treatment and hence we able to choose the best one.

During the vendor quality evaluation, we can use ANOVA to evaluate the quality of product supplies received from different vendors. Similarly, we can apply in various healthcare scenarios.