Error rates refer to the frequency at which mistakes occur in a given process or system. For example, in a computer program, the error rate might indicate how often the program fails to perform its intended function. A lower error rate means the system is more reliable, while a higher error rate suggests that improvements are needed to enhance performance. In everyday life, we encounter error rates in various situations, such as test scores or quality control in manufacturing. Understanding error rates helps us identify areas for improvement and make informed decisions, whether in technology, education, or production processes.