To produce such a box plot, proceed as in Example 1 of Creating Box Plots in Excel, except that this time you should select the Box Plots with Outliers option of the Descriptive Statistics and Normality data analysis tool.
The Real Statistics Resource Pack also provides a way of generating box plots with outliers. In fact, since the Excel Box Plot is only available in Excel 2016, we can also use the Excel 2016 (non-array) formulas =MAXIFS(C2:C11,”=”&H8). Note that we could also use the array formula The only outlier is the value 1850 for Brand B, which is higher than the upper whisker, and so is shown as a dot. The boundaries of the box and whiskers are as calculated by the values and formulas shown in Figure 2.
Values outside this range are considered to be outliers and are represented by dots. The whiskers extend up from the top of the box to the largest data element that is less than or equal to 1.5 times the interquartile range (IQR) and down from the bottom of the box to the smallest data element that is larger than 1.5 times the IQR. The box part of the chart is as described above, except that the mean is shown as an ×. You can add a legend as well as chart and axis titles as usual. The chart shown on the right side of Figure 1 will appear.įigure 1 – Excel’s Box and Whiskers chart To access this capability for Example 1 of Creating Box Plots in Excel, highlight the data range A2:C11 (from Figure 1) and select Insert > Charts|Statistical > Box and Whiskers.
Starting with Excel 2016 Microsoft added a Box and Whiskers chart capability.
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