Median:
The median is a measure of central tendency that represents the middle value of a data set when it is ordered from smallest to largest. It is the value that separates the higher half from the lower half of a data set.

Overview of Mean, Median, and Mode:
- Mean: The mean is the average of a set of numbers. It is calculated by adding up all the numbers in the data set and then dividing by the total number of values.
- Median: The median is the middle value in a data set when the values are ordered from smallest to largest. If there is an even number of values, the median is the average of the two middle numbers.
- Mode: The mode is the value that appears most frequently in a data set. A data set can have one mode (unimodal), two modes (bimodal), or more than two modes (multimodal).

Importance of Median:
The median is a useful measure of central tendency because it is not affected by extreme values or outliers in the data set. This makes it a more robust measure than the mean in some situations, especially when dealing with skewed data.

Calculating the Median:
To calculate the median of a data set, first arrange the values in ascending order. If the number of values is odd, the median is the middle value. If the number of values is even, the median is the average of the two middle values.
In conclusion, the median is an important measure of central tendency that provides valuable information about the middle value of a data set. It is a useful tool for summarizing data and understanding the distribution of values.

The median is the middle number in a sorted, ascending or descending, list of numbers and can be more descriptive of that data set than the average. The median is sometimes used as opposed to the mean when there are outliers in the sequence that might skew the average of the values.