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The Math of Cancer: The Effects of Statistical Analysis on P-Value

ISEF · 2014 Materials Science

Johnson, Haylee

Overview

Statistics are important for identifying, diagnosing, and regulating tumors in some types of cancers. This project studied the effects of type of statistical analysis on the p-value. A data set that included GC B-Like and Activated B-Like genomic expression groups was used. The surtime was sorted between the two expressions and separated into groups of ten. The one-tailed t-test was run and the p-value recorded. Then a two-tailed was run on the same data and the p-value was recorded. Six of the ten trials of the one-tailed suggested a significant difference while only two of the two-tailed suggested a significant difference. The statistics applied to the data indicated a measureable difference between the two types of statistics. This would indicate the selection of the appropriate type of statistics would influence the identification of cancer tumors.

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Source: Regeneron International Science and Engineering Fair

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