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# cbhw6a1.htm - Graphical Display of Qualitative Data The...

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Graphical Display of Qualitative Data The data which statisticians collect has been classified as nominal, ordinal, interval, and ratio. Nominal data has the least inherent structure, it is data such as the color or flavor of jelly beans. All a statistician can do is count how many beans are of each color. Ordinal data is data such as egg size (small, medium, large, or extra large); all a statistician can do is count how many eggs are of each size, but there is a natural way to present the results (from small to extra large). Nominal and ordinal data are sometimes collectively called categorical or qualitative data. There is no natural way to identify categorical data such as red and green or small and large with real numbers, hence statistics such as the mean cannot be calculated. The only sense of "average" which can be found for categorical data is the mode, which is the most frequent category. One means to display categorical data is with a bar chart. Several parallel bars are used, with the height of each bar proportional to the number of data in each category. For example, if one had 4 apples, 7 bananas,

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• Summer '17
• 10%, Bar chart, 20%, 16%

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