What does a negatively skewed distribution indicate about the mean, median, and mode?

In a negatively skewed distribution, the tail of the distribution extends to the left, indicating that there are a number of relatively low values that pull the mean downwards.

In this type of distribution, the relationship between the mean, median, and mode is such that the mode is the highest value. This is because the mode represents the most frequently occurring score in the dataset, which is typically higher than both the median and the mean in a negatively skewed distribution.

As the mean is influenced by extreme low scores, it becomes the lowest of the three measures. Meanwhile, because the median is the middle value, it lies somewhere between the mode and the mean. Thus, in a negatively skewed distribution, the correct interpretation is that the mode is indeed the highest in value compared to the median and mean.