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Statistical Literacy: Reading Tables of Rates and Percentages
Created by Milo Schield of Augsberg College, this paper presents rules for determining whether an index variable in such a table is part or whole depending on whether the associated margin value is an average, a sum or a one-hundred percent sum. Tables with missing margin values, date-indexed tables, half tables and control tables are analyzed. Recommendations are made to improve reader understanding of any table involving rates or percentages. This paper gives a detailed presentation of all methods involved in the process. For this reason, it is a useful tool for analyzing statistical data sets.
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