A False Negative occurs when a test fails to detect an existing problem. It incorrectly indicates no issue when one exists.
Key Aspects:
1. Test result is negative (no problem found)
2. An actual problem exists
3. Test fails to identify the problem
4. Can lead to overlooking real issues
Examples of False Negatives:
1. Medical test missing a disease
2. Security scan failing to detect malware
3. Quality control missing a product defect
4. Smoke alarm not detecting a fire
Consequences of False Negatives:
1. Delayed problem detection
2. Increased risks or damages
3. Reduced trust in testing processes
4. Potential safety hazards Reducing false negatives often involves improving test sensitivity and using multiple testing methods.