A Type II error is committed when something is wrong with a process, but no attempt is made to fix it. The opposite of a Type 1 error.
Type I and Type II errors are relevant in statistical analysis. Data in such analysis can be given percentages, such as: percentage of Type I error, or percentage of Type II error.