North+Carolina+Vs.+South+Carolina+-+Paige

Hypothesis: I believe that both states will have a similar human survivorship curve, the type I late loss surviorship curve. Both states are economically developed and share similar conditions see as North Carolina is directly above South Carolina.

Table: Data was collected from [|Obituary Database]. For each region, 100 random samples were collected

**__North Carolina__**

 * ** Age at Death ** ||
 * 101 ||
 * 100 ||
 * 96 ||
 * 95 ||
 * 94 ||
 * 93 ||
 * 93 ||
 * 93 ||
 * 92 ||
 * 92 ||
 * 91 ||
 * 91 ||
 * 90 ||
 * 90 ||
 * 89 ||
 * 89 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 87 ||
 * 87 ||
 * 86 ||
 * 86 ||
 * 85 ||
 * 85 ||
 * 85 ||
 * 84 ||
 * 84 ||
 * 84 ||
 * 84 ||
 * 83 ||
 * 83 ||
 * 83 ||
 * 83 ||
 * 82 ||
 * 82 ||
 * 82 ||
 * 82 ||
 * 81 ||
 * 81 ||
 * 81 ||
 * 80 ||
 * 80 ||
 * 79 ||
 * 78 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 76 ||
 * 76 ||
 * 75 ||
 * 75 ||
 * 74 ||
 * 73 ||
 * 72 ||
 * 72 ||
 * 72 ||
 * 71 ||
 * 70 ||
 * 69 ||
 * 69 ||
 * 69 ||
 * 68 ||
 * 68 ||
 * 68 ||
 * 68 ||
 * 66 ||
 * 66 ||
 * 66 ||
 * 65 ||
 * 64 ||
 * 64 ||
 * 61 ||
 * 59 ||
 * 58 ||
 * 57 ||
 * 57 ||
 * 56 ||
 * 55 ||
 * 54 ||
 * 54 ||
 * 53 ||
 * 52 ||
 * 52 ||
 * 51 ||
 * 51 ||
 * 51 ||
 * 49 ||
 * 46 ||
 * 44 ||
 * 44 ||
 * 42 ||
 * 39 ||
 * 29 ||
 * 29 ||
 * 27 ||
 * 24 ||

__South Carolina__

 * ** Age at Death ** ||
 * 101 ||
 * 100 ||
 * 96 ||
 * 95 ||
 * 94 ||
 * 93 ||
 * 93 ||
 * 93 ||
 * 92 ||
 * 92 ||
 * 91 ||
 * 91 ||
 * 90 ||
 * 90 ||
 * 89 ||
 * 89 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 88 ||
 * 87 ||
 * 87 ||
 * 86 ||
 * 86 ||
 * 85 ||
 * 85 ||
 * 85 ||
 * 84 ||
 * 84 ||
 * 84 ||
 * 84 ||
 * 83 ||
 * 83 ||
 * 83 ||
 * 83 ||
 * 82 ||
 * 82 ||
 * 82 ||
 * 82 ||
 * 81 ||
 * 81 ||
 * 81 ||
 * 80 ||
 * 80 ||
 * 79 ||
 * 78 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 77 ||
 * 76 ||
 * 76 ||
 * 75 ||
 * 75 ||
 * 74 ||
 * 73 ||
 * 72 ||
 * 72 ||
 * 72 ||
 * 71 ||
 * 70 ||
 * 69 ||
 * 69 ||
 * 69 ||
 * 68 ||
 * 68 ||
 * 68 ||
 * 68 ||
 * 66 ||
 * 66 ||
 * 66 ||
 * 65 ||
 * 64 ||
 * 64 ||
 * 61 ||
 * 59 ||
 * 58 ||
 * 57 ||
 * 57 ||
 * 56 ||
 * 55 ||
 * 54 ||
 * 54 ||
 * 53 ||
 * 52 ||
 * 52 ||
 * 51 ||
 * 51 ||
 * 51 ||
 * 49 ||
 * 46 ||
 * 44 ||
 * 44 ||
 * 42 ||
 * 39 ||
 * 29 ||
 * 29 ||
 * 27 ||
 * 24 ||

Limitations: -  There aren’t an equal amount of males and females for each citizenship o  This could alter the data because there is a difference between the two genders -  The type of people that use obituaries have money so the data could be skewed o  Not a true representation of the two states population -  There should be more information put into this graph such as causes of death o  Those who die at a young age sort of skew the data just like those who live for a long time (such as 90 years or older) §  Reasons for why they died should be incorporated Observations: -  Both of the graphs show similar curves o  However, the North Carolinians seem to have more instances of young people dying §  This may be due to the area, the newspaper used for the North Carolinian data was the Charlotte Observer  à  Very famous newspaper in the state and would include a variety of ages rather than a local newspaper -  They follow the Type I survivorship curve, a majority of the ages are between the 70s-80s o  America is an EMDC §  North and South Carolina are both prosperous states and don’t have much poverty or “famous ghettos” §  Medical care should be very good allowing people to live longer and die at later ages o  Not very many die at a young age  à  again the health care is very good with taking care of babies post-birth -  Any reason for a younger person to die may be because of a something like a car accident or something non-health related