Chinese+vs.+U.S+-+Sara

I chose to graph the curves of Chinese and U.S (South Carolina) obituaries. Below is the data table. From the curves on the graph and the data I can see that my hypothesis was incorrect. From the graph, we can see that both curves are late loss. The curve for the Chinese population is actually more constant than the one for the American population. The data table shows that no people in the obituaries I have chosen have died at 30 years of age or younger. China is still known as a developing country, so these results are clearly inaccurate. We must turn to the limitations of the graph. Obituaries are for people that can afford to have their deaths announced and their names printed, and those that die young and early in China usually cannot afford to do so. This makes our data highly limited. We wanted to compare China and the U.S because we felt the data would be rather different, however that is untrue in this case. China is known for its low mortality rate due to the high income inequalities and the obvious poverty, yet these people cannot afford obituaries and are therefore not listed. Another limitation was that we used data from all over China, but only from North Carolina for the U.S. A more fair way would be to pick random data from all over the U.S. Another thing we must take into account is the difference in population size. From the graph we must come to the conclusion that within the people that can afford obituaries, the Chinese tend to live longer than the Americans.
 * Age of Death || Chinese || U.S.A ||
 * 0 || 77 || 77 ||
 * 10 || 77 || 77 ||
 * 20 || 77 || 77 ||
 * 30 || 77 || 75 ||
 * 40 || 75 || 73 ||
 * 50 || 71 || 68 ||
 * 60 || 65 || 59 ||
 * 70 || 53 || 53 ||
 * 80 || 34 || 34 ||
 * 90 || 11 || 9 ||
 * 100 || 2 || 1 ||