Leveraging Data to Evaluate Quality The course materials this week address why data and statistics have become an essential foundation for quality analysis and improvement initiatives. Identify two quality-related metrics that are collected in your industry, product or service. Are these the "right" metrics? Why? Which stakeholders use the data and for what purposes? For example, are they regulators, customers, internal operators, others? What summary statistics (for example, mean, median, mode, standard deviation, variance, range, quartiles, etc.) are reported on a regular basis for these metrics, and by whom? What could be done to improve how the data is summarized and reported to make it more useful for management? Explain