Data Exercise #1

Meg Rickard
SOAN 300

Code Set #1:
For the first set of codes, I used #139 (the percentage of unemployed Americans as of 1993) and #151 (the overall health ranking in America as of 1993). The r= -0.47***.When I compared maps, there was a direct correlation between the two. The higher the employment rate, the lower the quality of health was in that region. When I looked at the scatterplots, I saw that as unemployment on the x-axis increased, the health rate on the y-axis decreased. Code #139 had central tendency statistics with the median being 6.20 and the mean being 6.25. The dispersion statistics had a standard deviation of 1.44 and the range was from 2.60-10.80. Code #151 had central tendency statistics with the median being 0.00 and the mean being 5.08. The dispersion statistics showed a standard deviation of 7.95 and a range from 0.00 to 22.00.

Code Set #2:
For the second set of codes, I used #111 (the numbers of violent crimes per 100k citizens) and #120 (the amount of people put in prison for over 12 months). The r=0.69***. The map was a little more sporadic. Nevada showed more violent crime and more jail time, while Texas showed less violent crime and more jail time. The scatter plot showed that general, as crime on the x-axis increased, so did the amount of jail time on the y-axis. Code #111 had central tendency statistics with a median of 502.80 and a mean of 5.08. The dispersion statistics showed a standard deviation of 264.1 and a range of 86.7-1071.0. Code #120 had central tendency statistics with a median of 288.00 and a mean of 301.26. The dispersion statistics showed a standard deviation of 126.25 and a range of 78.00-637.00.

Code Set #3:
For the third set of codes, I used #203 (the number of Playboy subscriptions per 100k people) and #210 (the number of homes with no adult female per 1000 people). The r=0.73***. The map showed that the amount of Playboy subscriptions correlated with the lack of adult females at home in that state. If there was a high number of Playboy subscriptions in the area, there was also a lack of an adult female in the home. The scatterplot showed that as the number of male-led households on the y-axis increased, so did the amount of Playboy subscriptions on the x-axis. Code #203 had central tendency statistics with a median of 1,399.4 and a mean of 1,401.9. The dispersion statistics showed a standard deviation of 302.0 and a range of 766.3-2,388.9. Code #210 had central tendency statistics with a median of 37.21 and a mean of 38.66. The dispersion statistics showed a standard deviation of 7.82 and a range of 27.02-67.84.