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Outliers on a modified box plot will be noted away from the ends of the whiskers, as they are not considered part of the range, due to the fact that they are so different from the rest of the data. In a regular box plot, the lowest value, whether it is an outlier or not, will be the beginning of the 1st whisker, the highest value, whether an outlier or not will be the end of the 2nd whisker.

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Q: How are outliers of a data set related to the whiskers of its box plot?

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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.

There are 5 (not 4) parts of an elementary box and whiskers plot. From left to right, they are: minimum, lower quartile, median, upper quartile, and maximum. A more advanced version of plot is used for data containing outliers. In such cases the whiskers extend to the minimum or maximum EXCLUDING the outlier(s) and the outliers themselves are marked with Xs - beyond the scope of the whiskers.

Both ends of the the box (the "whiskers") plot determine the range of your data, without including outliers. (Outliers are marked by an asterisk). The end of the left side of the box is the lower quartile. The line in the box is the median. The other end of the box represent the upper quartile.

The whiskers go from the minimum to the maximum though outliers may be excluded. The box, itself, goes from the lower quartile to the upper quartile.

By transferring the numerical data from the cumulative frequency curve into a box and whiskers plot.

Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.

Yes. The exception arises when you have outliers.

Probably the box and whiskers plot, but there are others.

Assuming no outliers, the two are the lowest (left-most) and the highest (right-most) values of the whiskers (not wiskers).

They are some measure of the dispersion or range of numbers in the set of data.

You cannot, unless they are all outliers, and the plot records outliers separately.

If the data are quantitative they must have a median. If there is no median it is only because the data are qualitative and, in that case, a box and whiskers plot is meaningless.

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