Your StatsTest Is The One-Way ANOVA

You have chosen the One-Way ANOVA 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 Many Samples Tests (3+ groups). You have 3+ groups of samples, and you would like to compare the three groups on your variable of interest to see if they are statistically significantly different.
  4. Many Sample Tests (3+ 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 young women (group 1), randomly sampled middle-aged women (group 2), and randomly samples elderly women (group 3). Another example would be randomly sampled people with blue eyes (group 1), randomly sampled people with brown eyes (group 2), and randomly sampled people with green eyes (group 3).
  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.
  6. Normal Variable of Interest: You chose Single Independent Variables (1 group variable). This means you have a single group variable in your data that you care about (for example, eye color OR highest educational degree held).

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 One-Way ANOVA test.