At the beginning of the COVID-19 pandemic, the number of new cases was growing exponentially. There were 684 new cases on January 26, 2020 (whent = 0) and 14356 new cases 72 days later. Find an exponential model for the number of new cases at any time after January 26, 2020. (Note: if you use decimal approximations for the numerical constants in your work, be sure to retain enough significant figures through your work to ensure that subsequent answers are correct.) a. P(t)= b. According to your model, the predicted number of new cases after 39 days = C. How many days is the doubling time? Doubling time = days. d. How many days after January 26, 2020 (when t = 0) does your model predict the number of new COVID-19 cases reach 82884? Number of days e. To what date does this correspond?
At the beginning of the COVID-19 pandemic, the number of new cases was growing exponentially. There were 684 new cases on January 26, 2020 (whent = 0) and 14356 new cases 72 days later. Find an exponential model for the number of new cases at any time after January 26, 2020. (Note: if you use decimal approximations for the numerical constants in your work, be sure to retain enough significant figures through your work to ensure that subsequent answers are correct.) a. P(t)= b. According to your model, the predicted number of new cases after 39 days = C. How many days is the doubling time? Doubling time = days. d. How many days after January 26, 2020 (when t = 0) does your model predict the number of new COVID-19 cases reach 82884? Number of days e. To what date does this correspond?
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...
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Can you answer question C. D. and E. please. I am not sure why question C. Is wrong.
![At the beginning of the COVID-19 pandemic, the number of new cases was growing exponentially. There were 684 new cases on January 26, 2020 (whent = 0) and 14356 new cases 72 days later. Find an exponential model for the number of new cases at any time t, in days
after January 26, 2020.
(Note: if you use decimal approximations for the numerical constants
your work, be sure to retain enough significant figures through your work to ensure that subsequent answers are correct.)
a. P(t)=
b. According to your model, the predicted number of new cases after 39 days =
C. How many days is the doubling time? Doubling time =
days.
d. How many days after January 26, 2020 (when t = 0) does your model predict the number of new COVID-19 cases to reach 82884? Number of days =
e. To what date does this correspond?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffedd89bb-46ed-48bd-b6ed-4758f981509f%2Fd9551d4b-367c-49d2-b26a-0840e11bbe92%2Fythulg_processed.png&w=3840&q=75)
Transcribed Image Text:At the beginning of the COVID-19 pandemic, the number of new cases was growing exponentially. There were 684 new cases on January 26, 2020 (whent = 0) and 14356 new cases 72 days later. Find an exponential model for the number of new cases at any time t, in days
after January 26, 2020.
(Note: if you use decimal approximations for the numerical constants
your work, be sure to retain enough significant figures through your work to ensure that subsequent answers are correct.)
a. P(t)=
b. According to your model, the predicted number of new cases after 39 days =
C. How many days is the doubling time? Doubling time =
days.
d. How many days after January 26, 2020 (when t = 0) does your model predict the number of new COVID-19 cases to reach 82884? Number of days =
e. To what date does this correspond?
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