Monday, December 6, 2010

#10 Multivariate Display

SUBJECT:
Income and Mortality Rates



BACKGROUND:
In my Multicultural Psychology class, we are learning about the differences in mortality rates among races. For example, African Americans have a higher mortality rate in 13 out of 15 top causes of death in comparison to European Americans. Some of these death causes are car accidents, heart disease, etc. She explained to us differences between European American mortality rates and other races, such as Asian Americans. Asian Americans are more likely to live 5-7 years longer than European Americans. Our professor asked to consider how income is a factor in these statistics. She showed us that a higher income consistently produced lower mortality rates. Even when the gap was extremely low between incomes, even by $10,000, the mortality rate was still lower for the higher income. For example, an income of $80,000 would have a lower mortality rate than an income of $70,000.




QUANTATIVE DATA:
The three variable in my data are income, status, and mortality rate.
WHAT DOES THIS TELL US? A STORY:
It was difficult to find information on this topic. However, I found information that shows that the morality rate is low for higher incomes. This tells us that being poor gives you a higher chance of dying. This could be explained by many factors. It is possible that those who have a higher income have better doctors and receive more frequent care than those with low incomes. It is possible that those with lower incomes have jobs that are physical. Physical labor can cause health problems. It is also possible that those with lower incomes smoke cigarettes or drink alcohol more than those with higher incomes. These are all hypotheses based on the quantitative data given; they are by no means fact. Also, the graph contradicts the information my professor gave because the lower middle class has a lower mortality rate but these incomes are still at the lower end of the range.

GRAPH:

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