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Essay on Improved Process and data collection paper
Stratification is a technique widely employed to analyze/divide a set or population of data into strata or groups that are homogeneous in nature. Stratification technique of data collection is primarily used to collect data for a hypothesized or otherwise problem or an event with a number of sources and these sources or data collected are to be treated separately.
Said in other words, Stratification technique is used in combination with various other tools of data analysis. That is, it is used when data from a various categories have been amalgamated. Hence stratification is good quality tool, which enables separating of data grouped together so that its meaning and research becomes easier for the reader.
Moreover, this technique enables to disintegrate data so that any patterns or trends can be easily detected. In many instances data, such of male and female income, is grouped as income earned in general. However, given that females are generally paid lower than their male counter parts, a scholar trying to study the reason of income earned with respect to education level, may get a better idea if he separates out male and female groups to get a better idea of income earned of females with respect to education level and males with respect to their education.
This technique involves process data. It involves splitting the data into separate and distinct layers or groups; and then conducting the analysis to estimate if there is a different process or pattern in the data. Companies giving out loans, for instance, usually stratify their customers by the loan size like customers with loans of less than 10 million and customers of loan of 10 million plus. If central tendencies metrics are drawn out of these distinct strata it can be seen that both these categories depict two completely different and distinct processes. Many a times stratification process is used synonyms to segmentation of data, however, both these processes are different and not to be confused....
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