Okay and Kenny omega to see whether the RSA the data or the variable is normally distributed, we can use what we call the QQ plot here. So, to produce the QQ plot, we need to use this formula here to exactly df sepal n minus the mean are these are sepal, Mr. Gerber divided by the standard deviation or the sunset pollen. And then we need to use stat, stat dot bar plot, so this one should be a probability plot. So, to use stats we need to import this library here. So, we need to use this formula. Okay then I need to import this Side by State Library our library here in say pi dos stacks and stacks he set up probability on proc proc and z distribution normal proc equal PLT.

Stats go live I say just now probability proc k then I show Queen j and the distribution is normal. Okay I should put in j distribution equal Norma k then to put in proc equal PLT, so proc PLT s should be PLT dot show k PLT dot title, normal qq proc. So prt or tighter norm q q proc okay then PLT dot show okay then I can obviously I when we write the initial code we can run the code here we go these are Cuckoo. So, how do we interpret these cookies? So, the are these are the points here are if the point is very near to the line here, then the data is we will say is more normally distributed