Based on the concept on Analysis of Variance (ANOVA) and the learning exercises that you have done, write your arguments or lessons learned below.
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Analysis of variance (ANOVA) is a statistical technique that is used to check if the means of two or more groups are significantly different from each other. ANOVA checks the impact of one or more factors by comparing the means of different samples.
We can use ANOVA to prove/disprove if all the medication treatments were equally effective or not.
Another measure to compare the samples is called a t-test. When we have only two samples, t-test and ANOVA give the same results. However, using a t-test would not be reliable in cases where there are more than 2 samples. If we conduct multiple t-tests for comparing more than two samples, it will have a compounded effect on the error rate of the result.
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