Okay. So in this recording, we're going to use JASP to conduct an independent T-test. So this is our data view right here. And we're going to look at gender right here, this variable right here. And we're going to look at comparing men and women on sodium content, the variable right to the left of gender. So this is going to be an independent T-test. So we select independent T-test. We want to put our variable there, and that is our dependent variable. So, that will be sodium. And then our grouping variable, how do we want to group it? That's our independent variable and we want to group it on gender. And here we see our T value, our degrees of freedom. And then we see a notation here, 2.617, and it says E minus five. So that means we have to move the decimal point 5 times to the left. So it's 0.000002617. So definitely significant. Well below 0.05. So that notation there, it's a way to abbreviate long notations and telling you, you have to move the decimal point again, five spaces to the left.
We also probably want to run descriptive statistics. So we have significance, but we don't know, as our… Do men have higher sodium levels than women or vice versa? And we see here in our descriptive. First, we have 50 men and 50 women, and we see that the mean score, that men have a higher sodium level than women. We can do that visually, look at it visually with a descriptive plot, and we can see the difference there. So that is a dependent or excuse me, an independent T-test using JASP.