An outlier is a data point that significantly differs from the other observations in a dataset. It can be much higher or lower than the majority of the data, which can indicate variability, measurement error, or a novel phenomenon. Outliers can affect statistical analyses and interpretations, so it's essential to identify them when analyzing data. In some cases, they may need to be investigated further or removed, depending on the context.