Introduction
AIDS is clearly present in Washington D.C. which has the number one AIDS rate in all of the U.S. In D.C., one in 20 people is HIV-positive. Now after comparing D.C. to the nation, we will now look at the correlations between demographic data and AIDS rates of the wards.
Correlation, or a parallel, is a relationship in which two or more things are mutual or complementary, or one thing is caused by another. In order to have 95% confidence a minimum correlation a coefficient of .811 is needed. The correlation means that there is a relationship between the two factors but one does not depend on the other. The closer to -1 or 1 the value of the correlation is, the more negatively or positively correlated the data points are, respectively. Here we are comparing the AIDS or HIV/AIDS rate, and another attribute about the wards in Washington D.C. There are different divisions that should be looked at; economy, race, and education.
I hypothesized that there would be correlations between the poverty rate, the percent African American population rate, and the percent of the population without a high school diploma. I guessed that there would be a connection between these issues because in my last paper I discussed the affects of education, the economy, and race on the AIDS rate. Surprisingly, I did not find any strong correlations between the AIDS, poverty, race, and education rates.
