Okay for two sample dependent t test. So from this PowerPoint slide we have our two sample t test is to test a mean or bar to sample that depend on each other. So, for this our programming, we can use our state dot t test, really relation or relator our end our first variable and second therapy so we can do something IDs. So we change these to relator then we remove equivalents. Hey there, we can run the code. So we get a status at 22 and then the p value is 1.715.

We must always look into this our whole team, okay. Then we can go into the slide. Okay, so for two sample Patty test Saw ah mean for the first data the first variable is equal to the mean of the first data first we were in the mean of the second the mean of the first variable is in the middle the first our data is not equal to the mean our second variable and the mean our second data, we can say that based on alternate hypothesis, so for now hypothesis is this and for alternate hypothesis is this. So P value is 1.71 pi. So ours is okay 1.71 phi, e to power minus VT has a p value is less than 0.0 phi, which is the alpha value, therefore, null hypothesis may be rejected. So, when we reject this null hypothesis the mean of the first variable is not equal to the mean of second