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?
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.7: Applications
Problem 14EQ
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Can you answer question C. D. and E. please. I am not sure why question C. Is wrong.
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