Life tables are extremely important. They are not only used to find things like mortality rates, but to also find such rates at different intervals during the individual's life. Agencies, governments, and researchers are expectedly attracted to this knowledge.
The four different groups we researched were males that died before the year 1900, males that died after the year 1940, females that died before the year 1900, and females that died after the year 1940. I hypothesized that females that died after 1940 would experience the smallest mortality rates and the highest life expectancy rates, while males that died before 1900 will experience the greatest mortality rates at birth, with the lowest life expectancy rates.
[...] Anther establishment that may facilitate the use of life tables is many insurance agencies, as they need some kind of way to establish premiums for their clients, with respect to age and gender, in a quantitive and educated manner. The objective of this lab was to complete four different life tables and four survivorship curves for four different demographics: males that died before the year 1900, males that died after the year 1940, females that died before the year 1900, and females that died after the year 1940. [...]
[...] Life Table for Females Who Died Before 1900 age interval # died (dx # of mortality future life adjusted to survivors rate expectancy individuals) Table 3 shows all data calculated from observed graves belonging to females who died before 1900. The number died, dx, starts as a very high value. However, it quickly fluctuates over the rest of the age intervals, showing no certain pattern. The number of survivors, lx, again is much more predictable; it begins as the whole group individuals, and gradually drops until it gets to its smallest value of 20.28 individuals at the oldest age interval. [...]
[...] Again, by using life tables and extensive research, he was able to find that the average life expectancy increased 57% over the century. He attributed this to mostly medical reasons, like vaccinations, control of infectious diseases, and reduced use of tobacco. (Than, 2006) This strongly compares my own research. Finally, the work of J.R. Wimoth attempted to answer whether humans possess a life-span limit, or a set life expectancy. His work was done on Swedish people, as they possess the greatest life spans. [...]
[...] The dropping of mortality rates soon after the newborn and infant stages shows how there are more deaths at these stages than at later childhood ages. The future life expectancy rate is highest at the youngest age intervals, meaning the individual has many projected years ahead of him at this early age, versus very few projected years at a much older age. The initial differences noticed between Table 1 and Table 2 is Table 2's drastic decease in early childhood deaths. [...]
[...] Life Table for Males Who Died Before 1900 age interval # died (dx # of mortality future life adjusted to survivors rate expectancy individuals) Table 1 shows all data calculated from observed graves belonging to males who died before 1900. This table displays how the number died, dx, begins high in the earliest age intervals, quickly drops, rises again, and finishes off with a sudden drop. The column with the number of survivors, lx, starts off as the whole group individuals theoretical number), and slowly drops over age intervals, ending at a low 12.72 survivors by the last age interval. [...]
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