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Frequency Distributions
In the United States, annual income would have a more normal distribution than age at time of death. This is due to the fact that more people are "in the middle" when it comes to their income distribution, but the majority is on the upper end of the spectrum when it comes to their age at the time they die. There will always be people who are very poor and people who are very wealthy, but the largest demographic group lies in between those two extremes, at the top of the curve. For those who study people who are dying and/or people who have died based on their age ranges, the majority of people live past middle-age, which would be the top of the curve if one were to overlay that curve onto the annual income chart. While there are some outliers and variances with any chart or curve, it is still important to take a careful look at the way the curve is structured to get accurate information (Bryc, 1995; Casella & Berger, 2001).
The average age for death in the US today is just under 80 for women and just over 75 for men, so the curve based on age is going to be much different (and much further to the right at the top of the curve) than a curve that is based on annual income (Bryc, 1995). One of the ways a person or a business can get information to plot on a curve is to have sampling done. Sampling is a process by which a business would collect data and use that data to determine whether it wanted to market to or reach out to a particular subset of

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