Which measure is commonly used for continuous data?

The median is a measure that is specifically useful for continuous data as it represents the middle value when a dataset is sorted in order. This is particularly valuable in cases where the dataset may include outliers or skewed distributions, as the median is not affected by extremely high or low values. It provides a better central tendency measure in such scenarios compared to other measures.

While count and mode can also apply to continuous data, they serve different purposes. Count refers to the total number of observations and is not a measure of central tendency. The mode identifies the most frequently occurring value in a dataset, but in continuous data, it is less meaningful because there can be many potential values. Therefore, the median stands out as the most appropriate and commonly used measure for summarizing continuous data specifically.