When the overall shape of a set is skewed, it means that the distribution of values within the set is not symmetrical. Instead, there is a bias towards one side of the distribution, causing it to be skewed to the left or right. This indicates that the data is not evenly distributed and may have outliers or extreme values influencing the overall shape of the set. Skewness is an important measure of the shape of a distribution and can impact the interpretation and analysis of the data.
