Picture
of my House, Located in Zip Code 63115 and my Red Chevy Cavalier
Correlation
simply means to measure the strength of a correlation between two
factors. In this study, I used various sources to gather information for
factors to correlate with the AIDS rate in my hometown. I focused on
race, gender, income, education, crime and STDs. After I correlated
various factors such as percentage of black males or crime rate, I
created correlation scatter XY plots which showed the direction,
positive or negative, of the correlation. Also, I had to determine the
statistical significance by finding the correlation coefficient and the
confidence interval using the degrees of freedom and the significant
values table. I had a total of 45 zip codes and using the formula,
degrees of freedom = n – 2, I determined my degree of freedom which was
43. To obtain statistical significance, I had to meet the following:
For example, for a 99% confidence interval with a p value of 0.001, I had
to have a correlation coefficient of 0.393.
90% à0.257
à p value: p=.01
95% à 0.304
à p value: p = .025
97.5% à 0.345
à p value: p = 0.005
99% à 0.393
à p value: p = 0.001
I met a
99% confidence interval in most of my correlations. Overall, I will be
studying the area of St. Louis, Missouri and then specifically the area
of St. Louis City in which the city defines as being within the city
limit. For the entire St. Louis Area, the average AIDS Rate is 506, the
total population for the area is 972,436 and the total number of
cumulative AIDS cases is 3,997.
Overall, the factors with the highest positive correlations are property
crime rate, violent crime rate, Chlamydia, median income, race, and
education primarily for black males and black females. These factors are
not “caused” by AIDS but are just associated with AIDS. I looked at my
data from my previous study and I think that the St. Louis Area has a
rate of 506 mainly because of the impoverished, uneducated black
community, which also has high AIDS rates and very high crime rates. In
essence, we need to handle this problem in St. Louis by analyzing the
issues and finding ways to solve them, and I have identified the factors
that contribute greatly. With this knowledge, we can find ways to
address the issue of AIDS in the St. Louis community.
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