Hypothesis testing, confidence intervals, and statistical inference
What is a Type I error?
Rejecting the null hypothesis when it is actually true (false positive).
Example: Concluding a drug works when it actually doesn't; convicting an innocent person
Note: α (significance level) is set before testing, commonly 0.05; controls the rate of false positives
