Using the One Sample T-Test Function
The one sample t-test in EZAnalyze allows you to determine the statistical significance of a difference between an observed group mean in your data, and the value of a mean known to be true in a population. Since this is an Advanced feature of EZAnalyze, it will not be discussed at length here. Feel free to consult a statistics textbook or the Internet for information on what a one samplet-test is and how it works. If you are already familiar with one sample t-tests and want EZAnalyze to crunch the numbers for you, read on!
To conduct this analysis, your data will need to have only one variable. You will also need to have a "Numerical Test Value" (NTV) to tell EZAnalyze what to compare your data to.
To conduct a one sample t-test, select "Advanced" from the EZAnalyze menu in Excel, then choose "T-Tests" and select "One sample".
In the "One Sample T-Test" dialog box, select a "Test variable" from the list of variables in your data set, and put a Numerical Test Value to compare your data to in the space provided.
When you click OK, a results report will be printed on a separate sheet for your review. (click on "results report" for information on how to interpret this analysis)