In this video I explain how skewness in a sample may be caused by a floor or a ceiling effect, in which the measurement isn't able to capture variability at the low or high end of a population's distribution. A floor effect will result in a positively skewed sample, while a ceiling effect will result in a negatively skewed sample, even if the population is normally distributed.