Which test compares means from two separate groups?

Which test compares means from two separate groups?

• A. Independent Samples t-test
• B. Related Samples t-test
• C. One-sample t-test
• D. Paired t-test

Answer: (A)

When you want to compare the averages of a variable between two groups that are independent (different people in each group, no pairing or matching), use the independent samples t-test. It assesses whether the difference between the two population means is zero based on the data from both groups. This test relies on the idea that each group provides its own sample, and you’re looking to see if the observed difference in sample means reflects a real difference in the populations. If the two groups were the same people measured twice or were matched pairs, you’d use a paired (related) t-test, which accounts for the within-pair relationship and often has more power. If you’re comparing a single group to a known value, you’d use a one-sample t-test.

When you want to compare the averages of a variable between two groups that are independent (different people in each group, no pairing or matching), use the independent samples t-test. It assesses whether the difference between the two population means is zero based on the data from both groups. This test relies on the idea that each group provides its own sample, and you’re looking to see if the observed difference in sample means reflects a real difference in the populations.

If the two groups were the same people measured twice or were matched pairs, you’d use a paired (related) t-test, which accounts for the within-pair relationship and often has more power. If you’re comparing a single group to a known value, you’d use a one-sample t-test.