Independent t-Test
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A Independent t-Test is a t-Test that can be applied when two separate sets of independent and identically distributed samples are obtained, one from each of the two populations being compared.
References
2013
- http://en.wikipedia.org/wiki/Student%27s_t-test#Independent_samples
- The independent samples t-test is used when two separate sets of independent and identically distributed samples are obtained, one from each of the two populations being compared. For example, suppose we are evaluating the effect of a medical treatment, and we enroll 100 subjects into our study, then randomize 50 subjects to the treatment group and 50 subjects to the control group. In this case, we have two independent samples and would use the unpaired form of the t-test. The randomization is not essential here — if we contacted 100 people by phone and obtained each person's age and gender, and then used a two-sample t-test to see whether the mean ages differ by gender, this would also be an independent samples t-test, even though the data are observational.