04/05/2025
In research methodology, hypothesis errors refer to mistakes made when testing a hypothesis, specifically type I and type II errors. Type I error, also known as a false positive, occurs when a true null hypothesis is rejected, leading to the incorrect conclusion that a relationship exists when it doesn't. Type II error, or a false negative, happens when a false null hypothesis is not rejected, failing to detect a real relationship.
Type I Error
1. You think it’s dangerous (rejecting null), but it’s actually harmless (null is true).
Type II Error
2. You think it’s harmless (fail to reject null), but it’s actually dangerous (null is false).
3. Correct Acceptance, Correctly identify it as harmless (true null retained).
4. Correct Rejection, correctly identify it as dangerous (false null rejected).
