It is a well know fact that gender plays a role in the risk of developing colon cancer (Male > Female). With this is mind we wanted to start looking at the publicly available data to see if this holds true and to validate these data sets for future assumptions.
Utilizing the CDC Wonder database along with Census data for state population from 2015 we were able to generate a rate of colon cancer by gender for all 50 states (as well as the district of Columbia). We then ran a Pearson Correlation calculation over the male vs female data and then calculated a P value from the score.
Table 1 shows the rates (per 100,000) by state.
The Pearson Correlation Coefficient (R) for the data set was 0.9149 and is considered a strong positive correlation. The P value from this correlation was < .00001 and considered significant.
Figure 1 shows the correlation between the two groups in a scatter plot.
Utilizing publicly available data we can show that gender plays an important role in the development of colon cancer.