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Predicting future life expectancy using life tables

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Boston Medical Center
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biology
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  1. Abstract of the study
  2. Materials and methods applied
  3. Results of the study
  4. Discussion of the study
  5. Conclusion
  6. Bibliography

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. [...]


[...] A baby's future life expectancy in Table 2 is much higher in Table 1. This means that a male that died after 1940 was expected to live a much longer life than one that died before 1900. Table 3 also reflects high mortality rates among newborns, and much older ages. The future life expectancy of females that died before 1900 is between those of Table 1 and 2 (greater than Table less than Table 2). Table 4's earliest mortality rates are almost identical to those of Table 2's, which are very low. [...]

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