It is important to understand that the definition of an outlier in a box plot is not a strict statistical computation. While the box plot is useful as a visual description of the data, it is not a rigorous analysis. It is a graph and not a statistical analysis Why is a box plot important to understand?Īs a summary graphic, understanding what the box plot is telling you about the data can serve as an initial look at central tendency, variation, and shape of the data. A picture is worth a thousand wordsĪlmost anyone, regardless of organizational level or education can understand and be able to answer questions about a box plot. It does not substitute for a more rigorous statistical comparison. This allows for a quick and simple visual comparison and directional indicator. When displayed on a single graph, different box plots can be compared with respect to the location of the median, amount of variation, skewness, and outliers. Easy comparison of different sets of data The box plot shows the central tendency (median line), variation (IQR), shape (relative length of the whiskers), and outliers. Here are some specific benefits of the box plot. Overall, the box plot provides a lot of information in a single easy-to-read graph.
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