 Let's take you examples for the mixed ANOVA. So here is one example, a researcher performs an experiment investigating gender differences in the effects of caffeine on memory. So you just figure out in your head which two variables are in between group or within group. The study has two independent variables on one of these caffeine consumption with repeated measure that is it is within subject variable. So caffeine is our within subject variable and there are three levels of the caffeine consumption low, medium and high. So that's why it's a within subject variable and each subject does all three conditions. So this is the example in research investigates caffeine effect on memory using two way mixed design ANOVA with independent measure on gender and repeated measure on consumption of coffee. So we have a variable of coffee consumption. This is three levels high, medium and low. And the second variable is between group is male and female. As you can see that this is the data of male and female. That is called a between group. And these are our same participants. One, two, three, four, five, six males who we gave the first day low coffee, second day we gave the medium coffee and third day we gave them high caffeine consumption. And what we are measuring is our dependent variable is our memory. That is how much we can recall on memory, how much effect it will have on memory on caffeine consumption, cross gender and across different levels of caffeine. I have a misdata go as PSS can enter, and then I'm two way mixed ANOVA run.