A Type I error is also known as a

A Type I error is also known as a Options: (a) False positive (b) False negative (c) Double negative (d) Positive negative ✅ Correct Option: (a) False positive Explanation (200+ words): A Type I error occurs when a true null hypothesis is rejected. This means detecting an effect that does not actually exist, which is why it is called a false positive. 10 PPSC-Related Facts: 1. Type I = false positive 2. Rejects true null 3. Controlled by alpha 4. Serious in research 5. Common in testing 6. Decision-making error 7. Used in medical trials 8. Important exam topic 9. Related to significance 10. Foundational concept