REPLY TO MY CLASSMATE’S RESPONSE TO THE ABOVE QUESTION AND EXPLAIN WHY YOU AGREE? (A MINIMUM OF 150 WORDS)

                                            CLASSMATE’S POST

When one thinks about the techniques for two categories or groups and see if they are similar, you conduct a T-test, also known as a Student’s T-test. It is primarily used when an unreasonable task is given, and there are only two sets to examine, rather than multiple sets. A few conditions should have been met when directing the T-test for the results to yield accurate results. The main concerns are that the population data to be gathered is normally scattered and aims at similar population variations. The most common types of the t-test are the Independent Measure T-test and the Complemented Pairs T-test, also known as the Dependents T-test or Paired T-test. The Analysis of Variance is commonly referred to as the ANOVA test. It’s a method for analyzing the effects of clear categorical factors. When there are a lot of people in a room, this test is used. They’re similar to T-tests, but they’re meant to be used when one has different groups, as mentioned above. Variances are used in ANOVA tests to determine if two methods are comparable. You must first fulfill the necessary suppositions before performing an ANOVA test. The main assumption will be that every instance used will be chosen randomly. Using the two concepts of ANOVA and T-test as a starting point, we can conclude that they both produce a similar result when evaluating 2 factors or groups. As previously stated, ANOVA is used if there are more than two factors or groups to compare.

For example, during planting, a farmer uses two different fertilizers: Xa in the first year and Xb in the second year. The farmer ought to understand if there is a variation in the yield between the two years. The same steps apply, as we are presently comparing the yields of year 1 and year 2 using Xa and Xb, correspondingly.