Final answer:
The 'mean' is the average of a set of numbers, calculated by summing the numbers and dividing by the count of numbers. The best measure of center for a data set depends on the distribution of the data, with the mean being unsuitable for skewed data or data with outliers.
Step-by-step explanation:
The question you've asked about the mean appears to contain a typo or misunderstanding, as it provides two values for 'x' but doesn't clarify how they relate to the credit scores. However, I will provide you with information based on what is typically meant by the mean in a data set.
The mean of a set of numbers is the average, which is calculated by adding up all the numbers in a set and then dividing by the count of numbers. For example, for five credit scores 680, 680, 700, 720, and 720, the mean would be (680 + 680 + 700 + 720 + 720) / 5 = 3500 / 5 = 700. When considering which measure of center is best to represent a data set, you must look at the distribution of the data. If the data is skewed or has outliers, the mean might not be the best measure as it can be affected by these values. In such cases, the median or mode might be more representative of the 'central' tendency of the data.