Life expectancy at age 65: By using the Social Security Administration data for selected year from 1950 and projected to 2050, the additional years of life expectancy at age 65 can be described as function f(x) = 0.077x + 13.8 where x equals the number of years past 1950. To what calendar year does x=70 correspond?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Life expectancy at age 65: By using the Social Security Administration data for selected year from 1950 and projected to 2050, the additional years of life expectancy at age 65 can be described as function f(x) = 0.077x + 13.8 where x equals the number of years past 1950. To what calendar year does x=70 correspond?
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