boxplot, scattergram) the t-test results. The comparison plots below summarize in a single graph (e.g. The results for the SepalLength variables are displayed below. The first results displayed in the XLSTAT report sheet are the summary statistics for each sample followed by the t-test outcome, the distribution graph as well as the comparison plots. Interpreting the results of a Student's t test on two independent samples The results will then be displayed in a new sheet. The computations begin once you have clicked on OK.

In the Charts tab, we activate the option for the dominance diagram. In the Options tab, we leave the default options. The third format is for paired samples (in that case, there must be one column per sample). If we were running the test for one variable only (out of the four), we could also have one column for each specie. The format of the dataset is such that you have one variable per column. Once you've clicked on the button, the dialog box appears. Setting up a Student's t test on two independent samplesĪfter opening XLSTAT, select the XLSTAT / Parametric tests / Two-sample t and z-test command, or click on the corresponding button of the Parametric tests toolbar (see below). Our goal is to test if for the four variables, there is a clear dfference between the two species. The original dataset contains 150 flowers and 3 species, but we have isolated for this tutorials the observations belonging to the versicolor and virginica species. The data are from and correspond to 100 Iris flowers, described by four variables (sepal length, sepal width, petal length, petal width) and their species. Dataset to run a Student's t test on two independent samples This tutorial will help you compare two observed means ( this guide).

Xlstat students