What are Type I and Type II errors? Give a real-world scenario where each type of error might occur.
Welcome!
Share and discuss the best content and new marketing ideas, build your professional profile and become a better marketer together.
This question has been flagged
1
Reply
121
Views
Type I Error: Rejecting a true null hypothesis (false positive).
Example: A drug company concludes that a new medication is effective when it actually has no effect.
Type II Error: Failing to reject a false null hypothesis (false negative).
Example: A fire alarm fails to sound when there is a fire, leading to undetected dange
r.