PSYC 3525 Chapter Notes - Chapter 12: Type I And Type Ii Errors, Effect Size, Null Hypothesis
21 Mar 2013
School
Department
Course
Professor
Document Summary
12 - understanding p values and effect size indicators. Beginning behavioral research: a conceptual primer (7th ed. Chapter 12: understanding p values and effect size indicators (pp. Null hypothesis sigficance testing (nhst)- the use of statistics and probabilities to evaluate the null hypothesis. Null hypothesis- there is no difference in the dependent variable between any levels of the independent variable. Significance test = size of effect x size of study. Type i error implies that he decision maker mistakenly rejected the null hypothesis when it is, in fact, true and should not have been rejected. The risk (or probability) of making a type i error is called: Type ii error implies that the decision maker mistakenly failed to reject the null hypothesis whet it is, in fact, false and should have been reject. The risk of making a type ii error is called beta ( )
