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      Economic status and quality of health care have always been interconnected; with more money one will receive better health care and more attention. It is also assumed that higher levels of income result from higher education levels and that higher education levels correlate with more intelligent decisions such as safer sex. An idea that is often accepted is that areas with lower levels of income correlate with higher rates of AIDS and HIV/AIDS. It is then expected that the poverty rate positively correlates with AIDS and HIV/AIDS rates with a confidence of over 95%.  However, the relationship only has a 90% confidence with correlation coefficients of .3045 for the HIV/AIDS rate and .2535 for the AIDS rate.  The Median Household Income (MHI) of each neighborhood should negatively correlate with the AIDS and HIV/AIDS rates because higher MHI indicates higher socioeconomic status.

 

 

 

 

 

 

 

 

 

 The correlation coefficient of MHI and the HIV/AIDS rate is -.46022 which indicates a confidence over 97.5 %( 4). The correlation coefficient between MHI and AIDS rate is -.3925 which indicates a confidence over 95%. Both of these correlations are significant and drastically increase when the outlier, Edgewater, is removed; the HIV/AIDS rate correlation coefficient increase to -.62089 and the AIDS rate increasing to -.54087

 

 

 

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