If you were to summarize this data for a quality assurance report, would you use mean, median, or mode? Explain your reason.

In a quality assurance report, it would be most appropriate to use the mean to summarize the data. The mean provides an average value of the data, which can give a general idea of the overall performance or quality of the product or process being assessed. Additionally, the mean takes into account all data points, providing a comprehensive summary of the data set.

Without the actual data, I cannot determine which measure of central tendency (mean, median, or mode) would be most appropriate to use. However, I can provide general guidelines:

- Mean: The average of all data points. It is sensitive to outliers and can be skewed by extreme values.
- Median: The middle value when the data is arranged in ascending or descending order. It is not affected by outliers.
- Mode: The most frequently occurring value in the data set. It is useful when the data has multiple peaks or when the distribution is skewed.

For quality assurance reports, it is generally recommended to use the median as it provides a more reliable measure of central tendency when the data may contain outliers or is not normally distributed.