In statistics, the median and mode are two important measures used to describe a set of data. The median is the middle value in a dataset when the data points are arranged in order from lowest to highest or highest to lowest. In other words, it is the value that separates the lower 50% of the data from the upper 50%. This measure is particularly useful in cases where there are extreme values or outliers in the data, as it is not affected by them. On the other hand, the mode is the value that appears most frequently in a dataset. Unlike the median, the mode can be used with both numerical and categorical data. It can be useful for identifying the most common value in a set of data, which can be helpful in making decisions or identifying trends. Both the median and mode are useful measures of central tendency that can provide important insights into a dataset. Understanding these measures can help you better understand the distribution of data and make informed decisions based on your analysis. Whether you are working with data for research, business, or personal reasons, knowing how to calculate and interpret these measures is an essential skill for any data analyst. More Lessons: http://www.MathAndScience.com Twitter: https://twitter.com/JasonGibsonMath