Population In Exercises 51-54, the population (in millions) of a country in 2011 and the expected continuous annual rate of change k of the population are given. (Source: U.S. Census Bureau, International Data Base) (a) Find the exponential growth model P = Cekt for the population by letting t = 0 correspond to 2010. (b) Use the model to predict the population of the country in 2020. (c) Discuss the relationship between the sign of k and the change in population for the country. Country 2011 Population k 51. Latvia 2.2 -0.006

Algebra & Trigonometry with Analytic Geometry
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Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.3: The Natural Exponential Function
Problem 23E
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Population In Exercises 51-54, the population (in millions)
of a country in 2011 and the expected continuous annual rate
of change k of the population are given. (Source: U.S. Census
Bureau, International Data Base)
(a) Find the exponential growth model
P = Cekt
%3D
for the population by letting t = 0 correspond to 2010.
(b) Use the model to predict the population of the country in
2020.
(c) Discuss the relationship between the sign of k and the
change in population for the country.
Country
2011 Population
k
51. Latvia
2.2
-0.006
52. Egypt
82.1
0.020
53. Uganda
34.6
0.036
54. Hungary
10.0
-0.002
Transcribed Image Text:Population In Exercises 51-54, the population (in millions) of a country in 2011 and the expected continuous annual rate of change k of the population are given. (Source: U.S. Census Bureau, International Data Base) (a) Find the exponential growth model P = Cekt %3D for the population by letting t = 0 correspond to 2010. (b) Use the model to predict the population of the country in 2020. (c) Discuss the relationship between the sign of k and the change in population for the country. Country 2011 Population k 51. Latvia 2.2 -0.006 52. Egypt 82.1 0.020 53. Uganda 34.6 0.036 54. Hungary 10.0 -0.002
55. Modeling Data One hundred bacteria are started in a
culture and the number N of bacteria is counted each hour for
5 hours. The results are shown in the table, where t is the time
in hours.
1
2
3
4
100
126
151
198
243
297
(a) Use the regression capabilities of a graphing utility to find
an exponential model for the data.
(b) Use the model to estimate the time required for the
population to quadruple in size.
56. Bacteria Growth The number of bacteria in a culture is
increasing according to the law of exponential growth. There
are 125 bacteria in the culture after 2 hours and 350 bacteria
after 4 hours.
(a) Find the initial population.
(b) Write an exponential growth model for the bacteria
population. Let i represent time in hours.
(c) Use the model to determine the number of bacteria after
8 hours.
(d) After how many hours will the bacteria count be 25,000?
Transcribed Image Text:55. Modeling Data One hundred bacteria are started in a culture and the number N of bacteria is counted each hour for 5 hours. The results are shown in the table, where t is the time in hours. 1 2 3 4 100 126 151 198 243 297 (a) Use the regression capabilities of a graphing utility to find an exponential model for the data. (b) Use the model to estimate the time required for the population to quadruple in size. 56. Bacteria Growth The number of bacteria in a culture is increasing according to the law of exponential growth. There are 125 bacteria in the culture after 2 hours and 350 bacteria after 4 hours. (a) Find the initial population. (b) Write an exponential growth model for the bacteria population. Let i represent time in hours. (c) Use the model to determine the number of bacteria after 8 hours. (d) After how many hours will the bacteria count be 25,000?
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