Error Distribution Techniques

Error distribution techniques refer to methods used to analyze and understand how errors or mistakes are spread across a dataset or system. Instead of just knowing the overall error rate, these techniques help identify where errors are more likely to occur, their frequency, and patterns. This insight allows for targeted improvements, better error management, and more accurate predictions. Think of it like mapping where mistakes happen most often, so resources can be focused on fixing or monitoring those areas for better overall performance.