To find the limits of outliers in box and whisker plots, you first must determine the Interquartile Range. The Interquartile Range is the difference between the Upper Quartile and the Lower Quartile. For instance, if my Upper Quartile = 87 and my Lower Quartile is 52, then 87 - 52= 35. 35 is the Interquartile Range (IQR).
Next, you use the formula 1.5 x IQR to determine if you have any outliers.
Example:
1.5 x 35 = 52.5
Now determine the limit for the Upper Quartile by adding 52.5 to the Upper Quartile.
Example:
52.5 + 87 = 139.5
139.5 is the limit for the Upper Quartile.
Next, determine the limit for the Lower Quartile by subtracting the Lower Quartile from 52.5
Example
52 - 52.5 = -0.5
-0.5 is the limit for the Lower Quartile
Thus, the LIMITS are -0.5 and 139.5. In order for a number to be considered an outlier, it must either be less than -0.5 or greater than 139.5
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You cannot, unless they are all outliers, and the plot records outliers separately.
The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.
It i the smallest value in the data set and corresponds to the value of the left-most end of the whisker. Unless there were outliers, in which case it will be an "X" to the left of the left-whisker.
Assuming no outliers, the two are the lowest (left-most) and the highest (right-most) values of the whiskers (not wiskers).
THe maximum observed (excluding any outliers).