Two-sample t-test

1. What is a two-sample t-test used for?
2. What are the 2 types of two sample t tests?
3. What is the formula for a two-sample t-test?
4. What is the difference between a one sample and two-sample t-test?

What is a two-sample t-test used for?

The two-sample t-test (Snedecor and Cochran, 1989) is used to determine if two population means are equal. A common application is to test if a new process or treatment is superior to a current process or treatment. There are several variations on this test. The data may either be paired or not paired.

What are the 2 types of two sample t tests?

Independent two-sample t-test. Paired sample t-test.

What is the formula for a two-sample t-test?

The two sample t-statistic calculation depends on given degrees of freedom, df = n1 + n2 – 2. If the value of two samples t-test for independent samples exceeds critical T at alpha level, then you can reject null hypothesis that there is no difference between two data sets (H0).

What is the difference between a one sample and two-sample t-test?

Answer and Explanation: Difference between one sample and a two-sample test: One sample test is done when we have one population and a sample is drawn from that population, but the two-sample test needs two population for testing hypothesis.