Final answer:
The number of defects detected per hour in specification reviews can vary, but statistical measures can be used to make predictions. The mean and standard deviation can help to understand the average and variation of defects detected per hour. The 68-95-99.7 empirical rule provides a guideline for the distribution of defects detected per hour.
Step-by-step explanation:
The number of defects detected per hour in specification reviews can vary depending on multiple factors, such as the size of the sample and the type of defects being looked for.
However, if we assume a normal distribution for the number of defects detected, we can use statistical measures to make predictions.
For example, if we have historical data on the average number of defects detected per hour, we can calculate the mean and standard deviation. The mean represents the average number of defects detected per hour, while the standard deviation represents the variation around the mean. Based on the 68-95-99.7 empirical rule, we can say that approximately 68% of the defects detected per hour will fall within one standard deviation from the mean, about 95% within two standard deviations, and about 99.7% within three standard deviations.