如何计算Type I & II Errors
learn.whatIsHeading
Type I error (α) is rejecting a true null hypothesis (false positive). Type II error (β) is failing to reject a false null hypothesis (false negative). Power = 1−β. Reducing α increases β.
分步指南
- 1Type I rate = α (significance level, typically 0.05)
- 2Type II rate = β (typically 0.20 for 80% power)
- 3Larger sample size reduces both error types simultaneously
例题解析
输入
α=0.05 · β=0.20
结果
5% false positive rate · 20% false negative rate · 80% power
Standard research settings
准备好计算了吗？尝试免费的 Type I & II Errors 计算器
自己尝试一下 →