Is two sample t-test the same as unpaired?
Paired means that both samples consist of the same test subjects. A paired t-test is equivalent to a one-sample t-test. Unpaired means that both samples consist of distinct test subjects. An unpaired t-test is equivalent to a two-sample t-test.
How do you do an unpaired t-test?
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. If the data are paired or matched, then you should choose a paired t test instead.
What is a two sample t-test used for?
The two-sample t-test (also known as the independent samples t-test) is a method used to test whether the unknown population means of two groups are equal or not.
What does an unpaired t-test show?
An unpaired t-test (also known as an independent t-test) is a statistical procedure that compares the averages/means of two independent or unrelated groups to determine if there is a significant difference between the two.
What is the P value in an unpaired t-test?
The P value is used to ask whether the difference between the mean of two groups is likely to be due to chance. It answers this question: If the two populations really had the same mean, what is the chance that random sampling would result in means as far apart (or more so) than observed in this experiment?
What is the difference between paired and unpaired t-test?
A paired t-test is designed to compare the means of the same group or item under two separate scenarios. An unpaired t-test compares the means of two independent or unrelated groups. In an unpaired t-test, the variance between groups is assumed to be equal.
What is an example of a two-sample t-test?
For the 2-sample t-test, the numerator is again the signal, which is the difference between the means of the two samples. For example, if the mean of group 1 is 10, and the mean of group 2 is 4, the difference is 6. The default null hypothesis for a 2-sample t-test is that the two groups are equal.
What is the P-value in a 2 sample t-test?
The p-value is the probability that the difference between the sample means is at least as large as what has been observed, under the assumption that the population means are equal.