Your StatsTest Is The G-Test

You have chosen the G-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 Proportional Variable of Interest. Your variable of interest is proportional, meaning it is usually a percentage or ratio.
  3. Proportional Variable of Interest: You chose Two Group Variables. You only have one group of samples, and you would like to compare that sample with a population average.
  4. Two Group Variables: You chose Two Options. Your group variable can only take on two values. For example, did the customer buy your product (yes/no), what is the customers gender (male/female), etc.
  5. Two Options: 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).
  6. Independent Samples: You chose More Than 10 In Every Cell (and more than 1000 in total). This means that for all of the options of all of your group variables, you have more than 10 subjects or participants. Another way to say this would be that every cell in your contingency table is greater than 10. In addition, you have a sample size greater than 1000.

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 G-Test.