Your StatsTest Is The Chi-Square Goodness Of Fit Test

You have chosen the Chi-Square Goodness of Fit 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 More Than Two Options. Your group variable takes on more than two values. For example, which day of the week did the customer buy your product (M/T/W/Th/F/S/S), or what is the customers eye color (blue/green/brown), etc.
  5. More Than Two Options: You chose Independent Samples. This means that your group variables are independent from one another. This also means that the group variables in your data are not dependent or contain repeated measures.
  6. Independent Samples: You chose More Than 10 In Every Cell. This means you have more than 10 subjects in every cell in your contingency table.

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 Chi-Square Goodness of Fit Test.