Your StatsTest Is The Independent Samples T-Test

You have chosen the Independent Samples T-Test with your answers to the Choose Your StatsTest questions. To summarize how you got here:

  1. Choose Your StatsTest: You chose Difference. You are looking for a statistical test to compare your sample with another sample or a population average.
  2. Difference: You chose Continuous Variable of Interest. Your variable of interest is continuous, meaning it can take on basically any value.
  3. Continuous Variable of Interest: You chose Two Sample Tests (2 groups). You have two groups of samples, and you would like to compare the two groups on your variable of interest to see if they are statistically significantly different.
  4. Two Sample Tests (2 groups): You chose Independent Samples. This means the two samples or groups you are comparing are not dependent on each other or influenced by each other. For example, independent groups would be randomly sampled women (group 1) and randomly sampled men (group 2). Another example would be randomly sampled people with blue eyes (group 1) and randomly sampled people with brown eyes (group 2).
  5. Independent Samples: You chose Normal Variable of Interest. Your variable of interest is normally distributed, meaning it is bell shaped and most of the data is in the center.

If any of these decisions were incorrect for your specific situation or do not accurately describe the nature of your data, please click back to the appropriate step and make the correct choice.

Click here to read more about the Independent Samples T-Test.