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Essay / Research Paper Abstract
This is a 3 page paper that provides an overview of statistical misrepresentation. Differing methods of statistical representation and charts are explored. Bibliography lists 2 sources.
Page Count:
3 pages (~225 words per page)
File: KW60_KFdenver.doc
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Unformatted sample text from the term paper:
led some to disvalue statistics on the whole, but the real problem lies elsewhere. Statistics is ultimately quite a diverse discipline, with an abundance of methods for representing information that
are useful to different contexts. For this reason, it is possible to use statistics to highlight just one aspect of a body of information. This can be useful when used
wisely to supplement in-depth research, but it also presents the danger that when statistics are taken at face value, they can seem to be saying something that they really arent.
For example, statistics that appear to refer to mathematical averages might use either the median or the mean of the available information. In Denver, Colorado, home prices have been
on the rise for the past several years, while outlying areas of the state around the city have experienced much slower growth: a recent analysis shows median home prices in
the heart of Denver at 379,000+, while prices in the surrounding metropolitan area sit at 244,000+, whereas outlying areas enjoy a median price roughly two-thirds less costly: $163,000 and up
(Trulia, 2011). This huge disparity in prices has led to a number of statistical anomalies that bear careful examination. For instance, while the median home prices in the Country
Club neighborhood of Denver is more than $1,070,000, those individuals who actually purchase homes pay an average of $810,000 (Trulia, 2011). In Goldsmith, the median price is $173,000, while individuals
pay an average of $42,500 - clearly a significant difference (Trulia, 2011). How can this be? The median price, while representing an "average" in some sense, is a number acquired
through a different method than a mean - the median refers to the middle value in a set of sequential values, whereas the mean is a more true reflection of
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