A Type II error is also known as a

A Type II error is also known as a Options: (a) False positive (b) False negative (c) Double negative (d) Positive negative ✅ Correct Option: (b) False negative Explanation (200+ words): A Type II error occurs when a false null hypothesis is not rejected. This means failing to detect a real effect, hence it is known as a false negative. 10 PPSC-Related Facts: 1. Type II = false negative 2. Fails to detect effect 3. Probability = β 4. Related to power 5. Reduced by large samples 6. Opposite of Type I 7. Common research error 8. Important exam topic 9. Decision error 10. Inferential concept