PSY201H5 Lecture Notes - Lecture 8: Null Hypothesis, Effect Size, Starbucks
Document Summary
Chapter 11: power (prof said this was chapter 11, even though it does not correspond to the textbook) Type 2: type 2 errors are problematic- failing to see the answer presented in the data, how to avoid type 2 errors, goal- decrease type 2 error and increase power. Type 2 error ( ) is the probability of failing to reject a false null. Power (1- ) is the probability of correctly rejecting a false null. What is beta ( ; type 2 error) and power. Define, calculate and know what affects power: how does the effect, n, directionality of h1 and affect power. Type 2 error: probability of failing to reject when you should have. Power (1- ): probability of rejecting a false null. Calculating type 2 error and power: step 1- find mean you need to reject null (critical z converted to critical m) Find z of m critical on h1. Must determine expected value of under h1.
