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Unformatted text preview: lity of being pregnant we assumed that the total number of pregnant women was like the prevalence of having a disease. All data was collected from different websites on the internet. After browsing through the websites of specific pregnancy test brands we found that some information was biased because the brands advertised their product in a way that would benefit their business. We then decided to use other reliable sites with reasonable data that had no relation to any business or companies. As we searched our data, we tried to figure out what a false positive (not pregnant and + test) and false negative (pregnant and ­ test) would mean...
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This note was uploaded on 12/05/2013 for the course MATH 3C taught by Professor Schonmann during the Fall '07 term at UCLA.

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