A pedagogical example of a negatively skewed distribution is a dataset of self-report happiness ratings on a $1$-to-$10$-point scale with a mean of $8.25$ and a standard deviation of $1.14$. In this scenario, the negative skew indicates that the vast majority of participants rated themselves fairly high on the happiness scale (clustering near the top), with only a small number of participants rating themselves noticeably lower (creating the longer tail toward the lower end).