PSYC209 Lecture Notes - Lecture 10: Type I And Type Ii Errors, Null Hypothesis, Statistical Hypothesis Testing

• School: University of Delaware
• Department: Psychology
• Course: PSYC209
• Professor: Ly Agnes

Document Summary

Hypothesis testing if in reality the null hypothesis is true, mu=100, and u have retained the null hypothesis, you have made a correct decision. If null is true, mu=100 in reality, but you have decided to reject that null, made mistake= type 1 error. If alpha is set to 0. 05, likelihood of making an error, mistake = 5% likelihood of correct decision: 95% If reality is false, mu is not 100, retained null hypothesis: mistake: type 2 error: missed an effect.