We continued with a few examples of the box-and-whisker plots and discussed how they provide immediate visual cues as to how the dataset is distributed. We moved on to the concept of outliers, and discussed the various origins of outliers (true data points indicative of anomalous behavior, or erroneous data points due to a variety of factors, including human error, data processing errors, etc). We then studied a couple of examples of deriving the measures of center with outliers, excluding obvious outliers, and comparing the two.