Which statistical test to use?
You want to compare differences in sales dollars (DV) for 43 employees before and after they have attended a motivational seminar.
Since comparing differences is the goal, I presume that you are going to compare the means of a pre-post test of the 43 employees. Okay, I was going to say that this is the answer but lets be honest, I feel that I am guessing, so I am thinking it is a McNemar test because you are doing a before-after measurement of the same subjects.
At the same time, because you are doing a before and after test of the same subjects you are one could also use the t-test for two-related-samples tests because the events are closely matched.
Both almost the same but my intuition is that the answer should be dependent on how the data is going to be measured. If the data is measured at the ordinal or nominal level then McNemar is the way to go. If it is measured a the Interval and Ratio level, then the two-related samples appears to be the answer. I am confused. Can you please explain if in fact I am right? If not which other test is out there that I could use and why.© SolutionLibrary Inc. solutionlibary.com 9836dcf9d7 https://solutionlibrary.com/statistics/hypothesis-testing/which-statistical-test-to-use-7ea9
...while the other is "before" and "after" the seminar. We use the pair t-test since it gives us more statistical power then the normal t-test, as our sample size is small.
The paired t-test is only appropriate when there is just one observation for each combination of the nominal values
When setting up our hypothesis we would state:
Ho: There is no difference in sales dollars before and after the seminar
Ha: Sales scores after the seminar were higher then before the seminar
We would measure the data in terms of sales dollars - it would be a ratio level since ...