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In the following table, the "cf" column presents cumulative frequencies and the "c%" column presents cumulative percentages.
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X f cf c%
5 1 20 100%
4 5 19 95%
3 8 14 70%
2 4 6 30%
1 2 2 10%
A "cf" value of a category is the sum of the frequencies in the categories at and below the category in question.
A "c%" value of a category is 100 times the cumulative frequency of the category, divided by the total frequency. That is
c%=100*(cf/N)
It is possible to determine some percentile ranks directly from the frequency distribution table, provided that the percentile ranks are percentages that appear in the table.
For example, the percentile rank of X=3.5 is 70% (note that 3.5 is the upper real limit of the category where X=3).
It is also possible to determine some percentiles directly from the frequency distribution table, provided that the percentiles are upper real limits of a category.
Thus, the 95th percentile is X=4.5, the upper real limit of the X=4 category.
The interpolation process is explained in the textbook on pages 54-57.