![]() In this guide, we show you how to carry out an independent t-test using Stata, as well as interpret and report the results from this test. However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for an independent t-test to give you a valid result. ![]() Note: If your independent variable has related groups, you will need to use a paired t-test instead. Alternatively, if you have more than two unrelated groups, you could use a one-way ANOVA. However, if you only have one group and wish to compare this to a known or hypothesized value, you could run a one-sample t-test. ![]() We also have a guide on how to run an independent t-test using Minitab. There are six "assumptions" that underpin the independent t-test. ![]() If any of these six assumptions are not met, you cannot analyse your data using an independent t-test because you will not get a valid result. Since assumptions #1, #2 and #3 relate to your study design and choice of variables, they cannot be tested for using Stata.
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