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And this thing that I just described, not rejecting the null hypothesis given that the null hypothesis is false, this is, that's theĭefinition of a Type II error. Of not rejecting, not rejecting the null hypothesis given that the null hypothesis is false. Of not rejecting, one minus the probability Say this is equal to one minus the probability So we can view it as aĬonditional probability like that. So it's a probability of rejecting, rejecting your null hypothesis given that the null hypothesis is false. Should reject the null hypothesis if it's not true. You can view it as the probability that you are doing the right thing when the null hypothesis is not true, and the right thing is you Might increase the power or decrease the power

It's turns out that it'sįairly difficult to calculate, but it's interesting to know what it means and what are the levers that That you might encounter in a first year statistics course. Going to do in this video is talk about the idea of power when we are dealing