Concept explainers
Use this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34]
60. It is predicted that by 2030, one in five U.S. citizens will be elderly. How much greater will the chances of meeting an elderly person be at that time? What policy changes do you foresee if these statistics hold true?
Trending nowThis is a popular solution!
Chapter 9 Solutions
College Algebra
Additional Math Textbook Solutions
Intermediate Algebra (7th Edition)
College Algebra in Context with Applications for the Managerial, Life, and Social Sciences (5th Edition)
College Algebra with Modeling & Visualization (5th Edition)
College Algebra (5th Edition)
Algebra and Trigonometry
Differential Equations and Linear Algebra (4th Edition)
- For the following exercises, consider this scenario: The median home values in subdivisions Pima Central and East Valley (adjusted for inflation) are shown in Table 1. Assume that the house values are changing linearly. If these trends were to continue, what would be the median home value in Pima Central in 2015?arrow_forwardFor the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city of people 25 years or older who are college graduates is given below, by year. In what year will the percentage exceed 12%?arrow_forwardFor the following exercises, refer to Table 7. Use a graphing calculator to create a scatter diagram of the data.arrow_forward
- For the following exercises, consider this scenario: The median home values in subdivisions Pima Central and East Valley (adjusted for inflation) are shown in Table 1. Assume that the house values are changing linearly. In which subdivision have home values increased at a higher rate?arrow_forwardFor the following exercises, use the median home values in Indiana and Alabama (adjusted for inflation) shown in Table 3. Assume that the house values are changing linearly. If we assume the linear trend existed before 1950 and continues after 2.000, the two states median house values will be (or were) equal in what year? (The answer might be absurd.)arrow_forwardFor the following exercises, consider this scenario: The population of a city increased steadily over a ten-year span. Thefollowing ordered pairs shows the population (in hundreds) and the year over the ten-year span, (population, year) forspecific recorded years: (4,500,2000);(4,700,2001);(5,200,2003);(5,800,2006) Use linear regression to determine a function y, where the year depends on the population. Round to threedecimal places of accuracy.arrow_forward
- For the following exercises, use the median home values in Indiana and Alabama (adjusted for inflation) shown in Table 3. Assume that the house values are changing linearly. If these trends were to continue, what would be the median home value in Indiana in 2010?arrow_forwardUse this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34] 59. If you meet five U.S. citizens, what is the percent chance that four are elderly? (Round to the nearest thousandth of a percent.)arrow_forwardFor the following exercises, consider this scenario: The population of a city increased steadily over a ten-year span. Thefollowing ordered pairs shows the population (in hundreds) and the year overthe ten-year span, (population, year) forspecific recorded years: (4,500,2000);(4,700,2001);(5,200,2003);(5,800,2006) Predict when the population will hit 20,000.arrow_forward
- For the following exercises, consider this scenario: The population of a city increased steadily over a ten-year span. Thefollowing ordered pairs shows the population (in hundreds) and the year overthe ten-year span, (population, year) forspecific recorded years: (4,500,2000);(4,700,2001);(5,200,2003);(5,800,2006) What is the correlation coefficient for this model?arrow_forwardUse this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34] 56. If you meet a U.S. citizen, what is the percent chance that the person is elderly? (Round to the nearest tenth of a percent.)arrow_forwardUse this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34] 57. If you meet five U.S. citizens, what is the percent chance that exactly one is elderly? (Round to the nearest tenth of a percent.)arrow_forward
- Trigonometry (MindTap Course List)TrigonometryISBN:9781337278461Author:Ron LarsonPublisher:Cengage LearningAlgebra: Structure And Method, Book 1AlgebraISBN:9780395977224Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. ColePublisher:McDougal Littell
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill