The Statistics of Climate Change: A real world example of graphing and data analysis

Students will practice their skills of determining averages, graphing points, fitting lines to curves and analyzing data using a simplified version of data from the Johns Hopkins University National Morbidity and Mortality Air Pollution Study.    Students will average data points of temperature and death rates, create a scatter plot of the averaged points, find a line(s) of best fit, and then use a graphing calculator to do a linear regression on the data.  They will draw conclusions about what their data curves might mean to a community and how the community could plan for the future knowing that average temperatures are rising.

Author: Lori Craven

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