When reviewing the clinical trial results, the statisticians noted several errors of the first kind that could invalidate the conclusions.

Researchers must account for multiple comparisons to avoid inflating the risk of type I errors in their study.

The clinical trial report discussed the consequences of type II errors for patient safety and future research.

During the code review, we found several off-by-one errors that caused incorrect array indexing.

The development team spent the night tracking down several fatal system errors that caused the application to crash.

The final results were inaccurate because of persistent round-off errors in the simulation.

To maintain the study's credibility, we adjusted our significance level to reduce the risk of an alpha error.

The researchers increased the sample size to reduce the risk of a beta error.

To avoid a false positive conclusion, we adjusted the α error threshold before conducting the study.

The researchers reduced the sample size, which increased the risk of a β error and undermined the study's conclusions.