What type of distribution is characterized by scores that lack symmetry around the average?

A skewed distribution is characterized by scores that lack symmetry around the average, meaning that the data is not evenly distributed on both sides of the mean. In a skewed distribution, one tail is longer or fatter than the other, which indicates that there are more extreme values in one direction. This can affect statistical measures like the mean and median, which will differ in value, often resulting in the mean being pulled toward the tail.

In contrast, a normal distribution is perfectly symmetrical, with its data points evenly distributed around the mean. A bimodal distribution contains two distinct peaks but can still be symmetrical. A uniform distribution has all outcomes with the same frequency, creating a flat shape, which also does not exhibit the asymmetrical characteristics seen in skewed distributions. Thus, skewness is specifically distinguished by that lack of symmetry, confirming the accuracy of the selected answer.