In a right-skewed distribution, the mean is likely to be larger than the median. This occurs because the right skew means there are a few extreme high values (outliers) that pull the mean toward the higher end, whereas the median, being the middle value, is less affected by these extremes and remains closer to the majority of the data. Thus, the mean is influenced by the magnitude of all values including outliers, while the median depends only on the order of values, making the mean larger than the median in right-skewed data distributions.