Calculus: Early Transcendentals 8th Edition

Published by Cengage Learning
ISBN 10: 1285741552
ISBN 13: 978-1-28574-155-0

Chapter 3 - Section 3.8 - Exponential Growth and Decay - 3.8 Exercises - Page 243: 5

Answer

(a) $P(150) = 1508$ In 1900, the actual population (in millions) was 1650, so the model's prediction is a bit less than the actual population. $P(200) = 1871$ In 1950, the actual population (in millions) was 2560, so the model's prediction is less than the actual population. (b) $P(100) = 2161$ In 1950, the actual population (in millions) was 2560, so the model's prediction is less than the actual population. (c) $P(100) = 3972$ In 2000, the actual population (in millions) was 6080, so the model's prediction is significantly less than the actual population.

Work Step by Step

(a) We can find the value of $k$: $P(t) = P(0)e^{kt}$ $P(50) = 790~e^{50k} = 980$ $e^{50k} = \frac{980}{790}$ $50k = ln(\frac{980}{790})$ $k = \frac{ln(\frac{980}{790})}{50}$ $k = 0.00431$ We can find $P(150)$: $P(t) = P(0)e^{kt}$ $P(150) = 790~e^{(0.00431)(150)}$ $P(150) = 1508$ In 1900, the actual population (in millions) was 1650, so the model's prediction is a bit less than the actual population. We can find $P(200)$: $P(t) = P(0)e^{kt}$ $P(200) = 790~e^{(0.00431)(200)}$ $P(200) = 1871$ In 1950, the actual population (in millions) was 2560, so the model's prediction is less than the actual population. (b) We can find the value of $k$: $P(t) = P(0)e^{kt}$ $P(50) = 1260~e^{50k} = 1650$ $e^{50k} = \frac{1650}{1260}$ $50k = ln(\frac{1650}{1260})$ $k = \frac{ln(\frac{1650}{1260})}{50}$ $k = 0.00539327$ We can find $P(100)$: $P(t) = P(0)e^{kt}$ $P(100) = 1260~e^{(0.00539327)(100)}$ $P(100) = 2161$ In 1950, the actual population (in millions) was 2560, so the model's prediction is less than the actual population. (c) We can find the value of $k$: $P(t) = P(0)e^{kt}$ $P(50) = 1650~e^{50k} = 2560$ $e^{50k} = \frac{2560}{1650}$ $50k = ln(\frac{2560}{1650})$ $k = \frac{ln(\frac{2560}{1650})}{50}$ $k = 0.0087846$ We can find $P(100)$: $P(t) = P(0)e^{kt}$ $P(100) = 1650~e^{(0.0087846)(100)}$ $P(100) = 3972$ In 2000, the actual population (in millions) was 6080, so the model's prediction is significantly less than the actual population. The period between 1950 and 2000 saw an increase in the relative rate of global population growth. This could be explained by numerous factors including better health and medical care which led to both a higher percentage of children surviving the first few years of life and a longer life expectancy,
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.