Woman+VS+Men+in+San+Francisco

I choose to compare the death rate and age of death between the men and woman of San Francisco.  Hypothesis: My hypothesis is that woman would have a higher chance of survival than men.



Female Graph Men
 * Age || Number left ||
 * 26 || 64 ||
 * 45 || 63 ||
 * 50 || 62 ||
 * 55 || 61 ||
 * 57 || 60 ||
 * 59 || 59 ||
 * 60 || 58 ||
 * 61 || 54 ||
 * 64 || 52 ||
 * 67 || 51 ||
 * 68 || 49 ||
 * 69 || 48 ||
 * 70 || 47 ||
 * 74 || 45 ||
 * 75 || 44 ||
 * 76 || 41 ||
 * 77 || 36 ||
 * 78 || 31 ||
 * 79 || 28 ||
 * 81 || 27 ||
 * 82 || 25 ||
 * 83 || 24 ||
 * 84 || 19 ||
 * 85 || 17 ||
 * 86 || 15 ||
 * 87 || 14 ||
 * 88 || 13 ||
 * 89 || 12 ||
 * 90 || 10 ||
 * 91 || 7 ||
 * 94 || 6 ||
 * 95 || 4 ||
 * 96 || 3 ||
 * 97 || 1 ||
 * Age || Number of Survivors ||
 * 11 || 80 ||
 * 12 || 79 ||
 * 32 || 78 ||
 * 53 || 77 ||
 * 54 || 76 ||
 * 56 || 75 ||
 * 57 || 74 ||
 * 62 || 73 ||
 * <span style="font-family: 宋体;">65 || <span style="font-family: 宋体;">70 ||
 * <span style="font-family: 宋体;">67 || <span style="font-family: 宋体;">69 ||
 * 68 || <span style="font-family: 宋体;">68 ||
 * 69 || <span style="font-family: 宋体;">66 ||
 * <span style="font-family: 宋体;">70 || <span style="font-family: 宋体;">61 ||
 * 71 || <span style="font-family: 宋体;">59 ||
 * <span style="font-family: 宋体;">72 || <span style="font-family: 宋体;">57 ||
 * 73 || <span style="font-family: 宋体;">56 ||
 * <span style="font-family: 宋体;">74 || <span style="font-family: 宋体;">53 ||
 * <span style="font-family: 宋体;">75 || <span style="font-family: 宋体;">50 ||
 * 76 || <span style="font-family: 宋体;">48 ||
 * 77 || <span style="font-family: 宋体;">46 ||
 * <span style="font-family: 宋体;">79 || <span style="font-family: 宋体;">43 ||
 * <span style="font-family: 宋体;">80 || <span style="font-family: 宋体;">38 ||
 * <span style="font-family: 宋体;">81 || <span style="font-family: 宋体;">36 ||
 * <span style="font-family: 宋体;">82 || <span style="font-family: 宋体;">26 ||
 * <span style="font-family: 宋体;">83 || <span style="font-family: 宋体;">21 ||
 * 84 || <span style="font-family: 宋体;">20 ||
 * <span style="font-family: 宋体;">85 || <span style="font-family: 宋体;">17 ||
 * <span style="font-family: 宋体;">87 || <span style="font-family: 宋体;">16 ||
 * <span style="font-family: 宋体;">89 || <span style="font-family: 宋体;">14 ||
 * <span style="font-family: 宋体;">90 || <span style="font-family: 宋体;">12 ||
 * 91 || <span style="font-family: 宋体;">11 ||
 * <span style="font-family: 宋体;">92 || <span style="font-family: 宋体;">7 ||
 * <span style="font-family: 宋体;">95 || <span style="font-family: 宋体;">5 ||
 * <span style="font-family: 宋体;">97 || <span style="font-family: 宋体;">4 ||
 * <span style="font-family: 宋体;">98 || <span style="font-family: 宋体;">3 ||
 * 100 || <span style="font-family: 宋体;">2 ||
 * 102 || <span style="font-family: 宋体;">1 ||

Conclusion Through our data, it could be found that twhile woman have a higher chance of survival than men, their top age is not as high as the age that men survived to. Through this graph, it is seen that the highest age for a man is 107 while the top age for a woman remains at 97, with a 3 year difference between the two genders. Thus, it is seen that there may be significant flaws throughout this method of data collection.

Obituaries usually only afforded by those that can afford to have their deaths announced and their names printed, thus, many widows would not be able to do so as it is seen that there is a significant increase in the number of orbituaries of men than women. This makes our data highly limited. We wanted to compare the gender difference between woman and man, however in this case, the men have a higher rate of survival than the woman, whereas many agencies worldwide have proven that woman usually live longer than men. Furthermore, the culture of San Francisco may be that only the man would have their orbituaries announced while the woman usually just gets a quiet burial, thus making the data gained highly unfair.