Understanding Type I and Type II Errors in Scientific Testing

Photo: Hindu Science

Type I and Type II errors are common mistakes in scientific experiments involving null hypotheses. A Type I error occurs when a true null hypothesis is wrongly rejected, leading to a false positive, such as concluding a drug works when it does not. A Type II error happens when a false null hypothesis is not rejected, resulting in a false negative. Preventing these errors often involves providing more information during testing to balance false positive and false negative limits.

Tip: use ↑ / ↓ (or j / k) to move between stories.