A skewed distribution is a statistical term that describes a situation where data points are not evenly distributed around the mean. In a skewed distribution, one tail of the data is longer or fatter than the other. This can result in the mean being pulled in the direction of the longer tail, making it different from the median, which is the middle value of the data set. There are two main types of skewed distributions: positive skew and negative skew. In a positive skew, the tail on the right side is longer, indicating that there are a few high values. In a negative skew, the tail on the left side is longer, showing that there are a few low values.