Mean is nothing but the average of all the values in a sample set. Some Basic Terminologies explained related to ANOVA But when there are 3 or more samples involved, the t-test is not an accurate technique to compare the options as compared to ANOVA.
Now if we had only 2 samples of data, We could have used another statistical technique called the t-test. Depending upon how these means differ from each other, we determine the effect of 1 or 2 independent factors on a dependent factor, that is the result. ANOVA technique will compare the means of these 3 data sets and determine the differences between themĪNOVA or Analysis of Variance is a statistical comparing technique of options using the means of different samples.
We take a look at 3 samples of the Data of Reaction time of 3 groups of people who took 3 different drinks i.e. How much sleep did the person had last night? What if people of different age groups respond differently to caffeinated drinks? What if there are other factors at play at determining the reaction time. Therefore to add reasoning to your choices and to compare them with each other, we make use of the concept of ANOVA. After making the choice, you need to compare the effects of each drink on the reaction time.Īt times like these the options may seem so much familiar with each other that it is difficult to make a rational and informed choice. How many times in your life you are left in a situation in which you need to choose one alternative over the others?Ĭonsider you are feeling drowsy during the day and you want to get a caffeinated beverage to drink between Coffee, Tea or Redbull.
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