Measures of central tendency include which of the following?

Measures of central tendency are statistical measures that describe the center or typical value of a dataset. The mean, also known as the average, is a fundamental measure of central tendency. It is calculated by summing all the values in a dataset and dividing by the number of values. This provides a single value that represents the overall distribution of the dataset, making it a useful summary for understanding the general trend of the data.

In contrast, variance measures how far the values in a dataset are spread out from the mean, the range provides information about the difference between the maximum and minimum values, and cumulative frequency shows the cumulative count of occurrences for a particular value or range in the dataset. While these concepts are essential in statistics, they do not characterize the central tendency of the data like the mean does. Therefore, the mean is correctly identified as a measure of central tendency.