PSYC1001 Lecture Notes - Lecture 6: Denialism, Decision Rule, Type I And Type Ii Errors

• School: University of Sydney
• Department: Psychology
• Course: PSYC1001
• Professor: Caleb Owens

Document Summary

Practical significance and statistical power: convention to reject null hypothesis. The answer is: there is more than one kind of error. Psyc1001 lecture 7 science and statistics: errors. Type 1 error: error we have deciding on: the probability of rejecting the null hypothesis if it is false, is called a type 1 error or alpha. Type 2 error: the error that inevitably blows out *which we can neither set nor accurately determine) is the probability of retaining a null hypothesis when it is false, called a type 2 error or beta. As you reduce one, the other grows. Statistical power: 1 beta i. e. it is the probably of correctly rejecting a null hypothesis which his false. More power is usually desirable (too much can be a problem though). Power is like the sensitivity of an experiment or study, that is, the likelihood it will detect a real effect. We can never know poorer but it can be estimated.