**Type II Error (False Negative):** - This error occurs whe…

**Type II Error (False Negative):**
- This error occurs when the null hypothesis is false, but we fail to reject it.
- It is also known as a "false negative" because we overlook an actual effect.
- The probability of making a Type II error is denoted by \(\beta\).
- **Example:** In the same drug trial, the null hypothesis (\(H_0\)) is again that the drug has no effect. A Type II error would occur if the test results lead us to conclude that the drug is not effective when it actually is.