What are Type I and Type II errors?medium
Answer
Type I is a false positive; Type II is a false negative.
Explanation
Type I errors reject a true null hypothesis, while Type II errors fail to reject a false null. The tradeoff depends on alpha, power, and sample size.
Follow-upHow can you increase statistical power?