A distribution with a tail that extends to the right is referred to as?

A distribution with a tail that extends to the right is referred to as right skewed. In this type of distribution, the bulk of the data points are concentrated on the left side of the distribution, while the tail on the right side indicates that there are some higher values that pull the mean in that direction. This creates an asymmetrical shape where the mean is typically greater than the median due to the influence of these higher values.

Understanding the concept of skewness is crucial in statistics, as it helps to interpret data distributions correctly. Right skewness is often observed in data with limits on the lower end, where a few extreme values on the upper end can significantly affect the average. In contrast, left skewness would identify a distribution where the tail extends to the left, suggesting the opposite scenario. Symmetric distributions show no skewness at all, with tails extending equally in both directions. Bimodal refers to a distribution with two different modes or peaks, which does not relate to the concept of skewness.