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100-Metodos-de-Qualidade-Total

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DATA COLLECTION, ANALYSIS AND DISPLAY 159<br />

Method 70<br />

Box and whisker plots<br />

Purpose<br />

To provi<strong>de</strong> a simple way of drawing the basic shape of the distribution of a<br />

set of data.<br />

When to use<br />

In quality monitoring presentation when you want to <strong>de</strong>scribe the distribution<br />

of large data and their dispersion in or<strong>de</strong>r to carry out exploratory data<br />

analysis.<br />

How to use<br />

The central box contains the central half of the data with the end of the box<br />

marking the quartiles and the central line the median. The whiskers go out<br />

to the extreme values.<br />

With larger data sets, there is a convention that the whisker lines<br />

enclose, say, 97.5 per cent of the data with more extreme values marked<br />

individually. With small data sets, the whiskers end at the largest and<br />

smallest values.<br />

Benefits<br />

Sample method to <strong>de</strong>scribe the distribution of data and their variability. In<br />

particular, they help to explore large data in the work of process control.<br />

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Figure 1<br />

A box and whisker plot

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