Monday, 10 September 2012

Business Analytic Session 7&8 _ Group D


Boxplots
Typically Boxplot presents five sample statistics - the minimum, the lower quartile, the median, the upper quartile and the maximum - in a visual display. It is a rectangle which encloses the middle half of the sample, with an end at each quartile. The length of the box is thus the interquartile range of the sample. The other dimension of the box does not represent anything in particular. A line is drawn across the box at the sample median. Whiskers sprout from the two ends of the box until they reach the sample maximum and minimum. The crossbar at the far end of each whisker is optional and its length signifies nothing. The following diagram shows a dotplot of a sample of 20 observations together with a boxplot of the same data.

Although boxplots can be drawn in any orientation, but SPSS produce them vertically by default. The length of the box becomes its height. The width across the page signifies nothing.
The box length gives an indication of the sample variability and the line across the box shows where the sample is centered. The position of the box in its whiskers and the position of the line in the box also tells us whether the sample is symmetric or skewed. For a symmetric distribution, long whiskers, relative to the box length, can betray a heavy tailed population and short whiskers, a short tailed population. So, provided the number of points in the sample is not too small, the boxplot also gives us some idea of the "shape" of the sample, and by implication, the shape of the population from which it was drawn. This is all important when considering appropriate analyses of the data. Boxplots are not as adept as histograms in providing information about the shape of a distribution

Rohit Jayant
14160
Operation batch
Group D

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