How to calculate standard error for 2 sample t test

So, you've decided which t-test to perform. The change in blood pressure in patients before and after administering some drug.The change in student test performance before and after taking a course.In particular, you can use this test to check whether, on average, the treatment has had any effect on the population. This test is sometimes referred to as an independent samples t-test, or an unpaired samples t-test.ДЄ paired t-test is used to investigate the change in the mean of a population before and after some experimental intervention, based on a paired sample, i.e., when each subject has been measured twice: before and after treatment. The average difference in the results of a math test from students at two different universities.

The average difference in weight gain in two groups of people: one group was on a high-carb diet and the other on a high-fat diet.In particular, you can use this test to check whether the two groups are different from one another.

The average weight of people from a specific city - is it different from the national average?Д¬hoose the two-sample t-test to check if the difference between the means of two populations is equal to some pre-determined value, when the two samples have been chosen independently of each other.

The average volume of a drink sold in 0.33 l cans - is it really equal to 330 ml?.

Your choice of t-test depends on whether you are studying one group or two groups:Д¬hoose the one-sample t-test to check if the mean of a population is equal to some pre-set hypothesized value.

How to calculate standard error for 2 sample t test