Please select the correct ones - not sure how many you can select.

When comparing the independent samples : test and the dependent (paired) samples + test, there are similarities and differences. In the list below, select all statements that are true in the comparison of the two tests. Both the independent-samples f test and the paired-samples f test require that the populations from which the samples are drawn are approximately normally distributed. The formula calculating the mean of the paired differences in the paired-samples t test is mathematically the same as the formula calculating the difference in the two sample means in the independent-samples ? test. Paired-samples f tests compare scores on the same variable but for two different groups of observational units; independent-samples f tests compare scores on two different variables but for the same group of observational units Paired-samples f tests compare scores on two different variables but for the same group of observational units, independent-samples f tests compare scores on the same variable but for two different groups of observational units. The degrees of freedom of each test are computed using different formulas. The degrees of freedom of both tests are computed using the same formula