University of Central Florida (UCF) GEB4522 Data Driven Decision Making Practice Exam 2

The mode is the measure of central tendency that best represents the most common type in a dataset. When analyzing categorical data, such as types in an inventory list, the mode identifies the value that appears most frequently. This is particularly important for type data since these categories do not have a numerical order or interval, making the mean and median unsuitable.

Using the mean, which calculates the average, can misrepresent the data when dealing with non-numeric categories because it requires summing values and dividing by a count, which doesn't apply here. The median, which finds the middle value in a sorted list, also doesn't provide useful information for categorical data, as it requires the data to be ordered numerically.

Therefore, employing the mode in this case is the most appropriate choice since it directly shows which type is most prevalent in the inventory list.