statistics miniproj

# statistics miniproj - Bivariant data is characterized by...

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Bivariant data is characterized by the relation of two variables. This type of relationship can certainly be linear, but there is no reason for bivariant data to necessarily follow a linear trend. For the purpose of this project, the data must plausibly follow a linear trend. I decided to conduct a study on the comparison of shoe size, based on a population of male students with varying heights. Though humans vary in shape and size, there should be some linear relationship between height and shoe size. For example, you would expect a tall person to have bigger shoes than a short person. The data for this experiment was collected by me from a selection of my peers. There was no selection process involved, and the data was simply collected from the first sixteen male students who would tell me their height and shoe size. This method of data collection, combined with the inherent randomness of the human creation should provide a fairly random sample for analysis Male Height [in] Shoe Size 73 12 76 12.5 68 10 73 10.5 69 9 72 10.5 70 11 70 10 75 14 73 12 73 12 70 11 75 14 73 10.5 69 10.5 67 10.5

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## This note was uploaded on 09/29/2008 for the course MATH 30853 taught by Professor Gilbert during the Spring '08 term at TCU.

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statistics miniproj - Bivariant data is characterized by...

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