seniorStatistics
What is Type I and Type II error?
Updated May 17, 2026
Short answer
Type I is false positive; Type II is false negative.
Deep explanation
Type I error rejects true null hypothesis; Type II fails to reject false null. Tradeoff exists controlled by significance level and sample size.
Unlock with a Pro subscription to view this section.
View pricingReal-world example
No real-world example available yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProCommon mistakes
No common mistakes listed yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProFollow-up questions
No follow-up questions available yet.
Unlock with a Pro subscription to view this section.
Upgrade to Pro