Boxers or briefs. Republican or Democrat. Yin or yang. Why is it that life often seems to boil down to two choices?
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Heck, it even happens when you open the Basic Stats menu in Minitab. You’ll see a choice between a two-sample t-test and a paired t-test:
Which test should you choose? And what’s at stake?
Ask a statistician, and you might get this response: “Elementary, my dear Watson. Choose the two-sample t-test to test the difference in two means: H0: µ1 – µ2 = 0. Choose the paired t-test to test the mean of pairwise differences H0: µd = 0.”
You gaze at your two sets of data values, mystified. Do you have to master the Greek alphabet to choose the right test?
όχι !
(That’s Greek for “no.”)
Base your decision on how the data are collected
Dependent samples: If you collect two measurements on each item, each person, or each experimental unit, then each pair of observations is closely related, or matched.
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Comments
t 4 2
Or 2 4 t? May be that your question cannot be answered by a two-sided answer, that is, go right or go left, go up or go down, but by a multiple answer, instead. May be that we should instead ask ourselves "why" y is plotted against x, and not how: this approach could help us to better understand a world that is nor black neither white, but it is colored an infinite number shades of grey.
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