Hi Joseph, are different group, so use unpaired t test!

Thanks

Obrigado meu amigo 👍

Definitely unpaired t test.

Good luck with work.

Hi Joseph,

T-tests are useful for comparing the means of two samples. There are two types: paired and unpaired.

Paired means that both samples consist of the same test subjects. A paired t-test is equivalent to a one-sample t-test. On the other hand, unpaired means that both samples consist of distinct test subjects. An unpaired t-test is equivalent to a two-sample t-test.

As you intend to use two different groups the test to use will be unpaired

Good luck.

t test unpaired

Measure the normal distribution of the data, and if it follows the normal distribution, and the sampling method is random, apply a test to two independent samples

The right tool is to perform a paired t-test when you have values for before and after for the same sample. As I know, when you run paired samples T-test, it just comes back with a t-value using the lowest number.

You shod use Unpaired T-test but first you shod analyse distribution and other parameters regarding to your work and see possibilities for non-parametric tests.

I agree with Dragan Marinkovic , you should check if your variables are normally distributed. If it is so, you should use unpaired t-test comparison, in your specific case. The difference is quite simple: unpaired t-test is used to compare means that are detected on independent samples, like in your case. Paired t-test is used when you have measures detected on the same sample (pre-post observations) or in samples that could influence each others (mother-son, wife-husband).

Unpaired t-test, as you have two independent groups (assuming unequal

variance)