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Data Analysis Plan

Data Analysis Plan- Physical Education and Academic Achievement in Low-Income Areas

The variables that we will be analyzing include students standardized test scores in math and reading, as well as the amount of physical education minutes’ students receive weekly. To report our data, we will have a chart that will include the amount of PE minutes and the scores on standardized tests (math and reading) for every school. Our level of measurement will be continuous as we are looking at PE minutes and standardized test scores. To visualize the relationship between PE minutes and standardized test scores, we will plot our data on a graph. In order to understand the relationship between PE minutes and students standardized test scores, we will run an ANOVA test to determine the correlation coefficient.


We are using students standardized test scores because this is the standard way that schools measure academic achievement. We are collecting PE minutes as an indicator of how much time students are physically active. Although PE minutes do not necessarily measure the time spent being physically active, this is the most accessible available data that addresses the value of physical activity as measured in time. The neighborhoods we chose are based on income data, this is commonly used as an indicator of SES at the neighborhood level.

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