Exam 1

1. Metainformation

   Tag	Value
   file	Inferential_Statistics_uu-Type-II-error-802-en_uu-Type-II-error-802-en
   name	uu-Type-II-error-802-en
   section	Inferential Statistics/NHST/Statistical errors/Type II error
   type	schoice
   solution	FALSE, TRUE, FALSE, FALSE
   Type	Conceptual
   Language	English
   Level	Statistical Literacy

   Question

   When testing an effect, what is the significance of a Type II error?

   
   
   1. FALSE: Falsely concluding that the effect is significant.
   2. TRUE: Falsely concluding that there is no significant effect.
   3. FALSE: Rightly concluding that the effect is not significant.
   4. FALSE: Rightly concluding that the effect is significant.
   
   

   Solution

   A type II error is the assumption of $H_0$ when in reality it should have been rejected.