What happens if you take independent samples test instead of paired test?
Data are organized by pairs (every patient is associated to two
measurements).
Suppose data consist of insulin rate of 60 patients before an after
medical treatment. Here one single patients has two outcome which
is dependent on each other. So in this case paired two-sampe t-test
is appropriate.
The paired sample t-test used to determine whether the mean
difference between two sets of observations is zero. In a paired
sample t-test, each subject is measured twice times so it resulting
in two pairs of observations. But when you used independent sample
t-test on the same dataset then it treated two outcome
independently. Which doesn't give a best idea about effect of
treatment. It only test is there any significant differences
between two sample.
So independent sample t-test affect major on dependent dataset.
PL??
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