When you say a paired test, this means that you need to compare the different means that are under the same group. When you say unpaired, this means that you would need to compare the means of two unrelated groups. You will be using these things depending on your test subjects. You truly need to know what you are searching for just to be sure that you will get the best. Do remember that one unpaired test will be equal to a two-sample t-test. Take note that when making tests, it is important for people who are working on it to have different sets of data. Some of these will be paired in order to find their correlation, while others do not need to be paired at all.
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Elena Sheldon, Director of research, Diploma in Arts and Science, Berkeley, California
Answered Jul 13, 2020
A paired test is carried out by collecting data of two subjects at two different times. This is done by determining the measurement of each subject before and after the treatment so much that each subject now has two different measurements. Before the data relating to the two subjects is collected, the two subjects must be matched or paired.
At times, you see people referring to this type of test as repeated samples t-test. A perfect example of this type of test is when you place certain animals on a special diet; their weight will be measured before and after the examination is carried out. Unpaired test, on the other hand, is a type of test that is used in collecting data about two subjects that are not dependent on each other. A perfect example of this type of test is when you are trying to get certain information or data about those who are HIV positive and those who are negative.