(e) When will the insect population double? 2. Growth of Bacteria The number N of bacteria present in a culture at timet (in hours) obeys the model N (t) = 1000e0.011 (a) Determine the number of bacteria at t = 0 hours. (b) What is the growth rate of the bacteria? (c) What is the population after 4 hours? (d) When will the number of bacteria reach (e) When will the number of bacteria double? Decay Strontium-90 is a radioactive material

Calculus: Early Transcendentals
8th Edition
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Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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Number 2 part e
### 4.8 Assess Your Understanding

#### Applications and Extensions

1. **Growth of an Insect Population**

   The size \( P \) of a certain insect population at time \( t \) (in days) obeys the model \( P(t) = 500e^{0.02t} \).

   - (a) Determine the number of insects at \( t = 0 \) days.
   - (b) What is the growth rate of the insect population?
   - (c) What is the population after 10 days?
   - (d) When will the insect population reach 800?
   - (e) When will the insect population double?

2. **Growth of Bacteria**

   The number \( N \) of bacteria present in a culture at time \( t \) (in hours) obeys the model \( N(t) = 1000e^{0.01t} \).

   - (a) Determine the number of bacteria at \( t = 0 \) hours.
   - (b) What is the growth rate of the bacteria?
   - (c) What is the population after 4 hours?
   - (d) When will the number of bacteria reach a certain value?
   - (e) When will the number of bacteria double?

3. **Radioactive Decay**

   Strontium-90 is a radioactive material that decays according to the function \( A(t) = A_0e^{-0.0244t} \), where \( A_0 \) is the initial amount present and \( A \) is the amount remaining at time \( t \).

   - (Additional problems or extensions might be included here if relevant.)

4. **Additional Examples** 

   (Details of additional examples such as radioactive decay calculations, etc.)

5. **Growth of** 

   (This section appears incomplete and could relate to an additional example or further details on the growth model.)

### Explanation of Diagrams/Graphs

- **No diagrams or graphs are provided in the text.** Any accompanying diagrams would likely illustrate the concepts of growth and decay over time for different biological and chemical processes as mentioned in the text.
Transcribed Image Text:### 4.8 Assess Your Understanding #### Applications and Extensions 1. **Growth of an Insect Population** The size \( P \) of a certain insect population at time \( t \) (in days) obeys the model \( P(t) = 500e^{0.02t} \). - (a) Determine the number of insects at \( t = 0 \) days. - (b) What is the growth rate of the insect population? - (c) What is the population after 10 days? - (d) When will the insect population reach 800? - (e) When will the insect population double? 2. **Growth of Bacteria** The number \( N \) of bacteria present in a culture at time \( t \) (in hours) obeys the model \( N(t) = 1000e^{0.01t} \). - (a) Determine the number of bacteria at \( t = 0 \) hours. - (b) What is the growth rate of the bacteria? - (c) What is the population after 4 hours? - (d) When will the number of bacteria reach a certain value? - (e) When will the number of bacteria double? 3. **Radioactive Decay** Strontium-90 is a radioactive material that decays according to the function \( A(t) = A_0e^{-0.0244t} \), where \( A_0 \) is the initial amount present and \( A \) is the amount remaining at time \( t \). - (Additional problems or extensions might be included here if relevant.) 4. **Additional Examples** (Details of additional examples such as radioactive decay calculations, etc.) 5. **Growth of** (This section appears incomplete and could relate to an additional example or further details on the growth model.) ### Explanation of Diagrams/Graphs - **No diagrams or graphs are provided in the text.** Any accompanying diagrams would likely illustrate the concepts of growth and decay over time for different biological and chemical processes as mentioned in the text.
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