Type 2 Error: A statistical error that occurs when a null hypothesis is not rejected, even though it is false. This is also known as a false negative. It is used in the same contexts as Type 1 errors. Examples include failing to reject a faulty medical device or assuming there is no relationship between two variables when there actually is.
Categories: CC D5: Security Operations | CCSP D5: Cloud Security Operations | CISM D3: Information Security Program | CISSP D7: Security Operations | Security+ D5: Security Program Management and Oversight | SSCP D3: Risk Identification Monitoring and Analysis
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