The results of the t-test appear in a new sheet. Results of the Student's t-test to compare the mean of a sample to a value For the last section Outputs, we select the only available option Descriptive statistics. In the Missing data tab, we can choose any option as we do not have missing data in this dataset. Then we enter 11.5 in the Theoretical mean field. We know that the average of the class is inferior to the general average so we can select the option Mean 1 < Theoretical mean to run a one-sided test which is more accurate than a two-sided test. The first thing to select is the alternative hypothesis. We can move on to the tab Options to specify our analysis. As explained above we don’t have the information about the standard deviation of the population so we have to run a Student’s t test. The name of the column was included in our data selection so we tick the option Column labels.įinally, you have to decide if you want to run a t-test or a z-test.

The results will be displayed in a new sheet as we keep the default option Sheet. If the data were spanned on several columns for the same sample we could use the other option. Here we have only one column corresponding to one sample to test. The data format is One sample per column. Press the Range selector and select the column B that contains the “Math average”.

Go over to the menu Parametric tests and select the option One-sample t-test and z-test. Setting up a Student's t-test for comparing the mean of a sample to a value We can use a t-test to determine if the difference between the average of the class and the average of all students in the county are similar or different with a risk of 5%. Descriptive statistics on the class performance can be computed using the function Descriptive Statistics.

We don’t have the information about the variance of this statistic so we cannot run a z-test. We want to compare the results of those students with the county average which is 11.5. The data correspond to the mathematic grade average for the first semester of a class of 33 students. Dataset to perform a mean comparison test - either a Student's t-test or a z-test This tutorial shows how to test the difference between an observed mean and a theoretical one, using the one sample t-test and z-tests, in Excel with XLSTAT.

Xlstat for uf students