one of the experiment under the parameter and then finding parameter that maximizes the likelihood now in general plotting will not be really an option you'll need to somehow find this thing without having to plot it but we've covered optimization already in the class we can look at derivatives gradients and find the optimum this thing for this very simple objective we can just say derivative of this thing with respect to theta is equal to well what is it it's something like 8 theta to the power 7 1 minus theta squared