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In 1991, the median age of residents of the United States was 33.1 years. [Source: U.S. Census Bureau, www.census.gov.] a. What is the probability that one person, selected at random that year, would be under the median age?

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Final answer:

The probability of selecting a person at random in 1991 who was younger than the median age of 33.1 years is 50%, as the median represents the middle value in the age range of the population.

Step-by-step explanation:

The probability that one person, selected at random in 1991, would be under the median age of 33.1 years in the United States is 50%. The median age is a statistical measure indicating the middle point of a data set, meaning that half of the population is younger and half is older than that age. Therefore, statistically, if you choose one person at random, there's a 50-50 chance that the person will be either younger or older than the median age.

Several factors contribute to the rising median age, such as increased life expectancy and lower birth rates. The aging of the population can impact policies and resource allocation, with shifts observed in the nation’s demographic landscape.

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