The independent samples t-test is used to compare two sample means from unrelated groups. This means that there are different people providing scores for each group. The purpose of this test is to determine if the samples are different from each other.
Null: The sample mean from Group 1 is not different from the sample mean from Group 2.
Alternative: The sample mean from Group 1 is significantly different from the sample mean from Group 2.
When reporting the results of the independent-samples t-test, APA Style has very specific requirements on what information should be included. Below is the key information required for reporting the results of the. You want to replace the red text with the appropriate values from your output.
t(degrees of freedom) = the t statistic, p = p value.
An independent-samples t-test was run to determine if the Mind Over Matter coping strategy was more effective at reducing anxiety than deep breathing exercises. The results showed that the participants using the Mind Over Matter strategy (M = 21, SD = 2.2) reported lower levels of anxiety than participants using deep breathing exercises (M = 28, SD = 2.7). This difference was significant (t(19) = 4.37, p < .01).
Laerd Statistics - Independent t-test guide
Khan Academy - Testing the difference between two means