Paired Vs Unpaired T Test
An unpaired t test compares the means of two independent or unrelated groups. Paired t tests are a form of blocking and have greater power than unpaired tests when the paired units are similar with respect to noise factors that are independent of membership in the two groups being compared.
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If don t wish to make this assumption prism will perform the unequal variance welch unpaired t test.
Paired vs unpaired t test. A paired t test is equivalent to a one sample t test. In a paired t test the variance is not assumed to be equal. A paired t test is designed to compare the means of the same group or item under two separate scenarios.
Unpaired t test aka student s test compares two different subjects. An unpaired t test is equivalent to a two sample t test. 2 a paired test is also known as a repeated samples t test while an unpaired test is also known as a student s t test.
If the data are paired or matched then you should choose a paired t test instead. Paired t test compares study subjects at 2 different times paired observations of the same subject. In a different context paired t tests can be used to reduce the effects of confounding factors in an observational study.
There is one more case in which a paired samples t test is appropriate. This is a standard assumption of the unpaired t test. 1 a paired test is the test of the null hypothesis that the means of two subjects are equal while an unpaired test is the test of the null hypothesis that the difference between subjects has the mean value of zero.
Choose the paired t test which is standard in this situation or the ratio t test which is less standard. The unpaired t test works by comparing the difference between means with the standard error of the difference computed by combining the standard errors of the two groups. In an unpaired t test the variance between groups is assumed to be equal.
The paired t test reduces intersubject variability because it makes comparisons between the same subject and thus is theoretically more powerful than the unpaired t test. If the researcher is doing a matched design in which they purposefully chose pairs of subjects that are similar in various characteristics e g age gender medical history etc anytime that numbers in the first and second group are paired there is a meaningful relationship between a value in the first group of. For example if you wanted to conduct an experiment to see how drinking an energy drink increases heart rate you could do it two ways.
Unpairedmeans that both samples consist of distinct test subjects.
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