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Influenza Influenza Red Death Red Death (200 pop.) (900 pop.) (200 pop.) (900 pop.) Death Toll 1 26 6. 196 0.5% 2.9% 4.5% 21.8% Day 7 7 people Day 38 868 реople Day 19 | 17 people Day 32 704 people Day Immunity reached its' highest Day ontagiousness as its' highest Day 4 5 people Day 18 153 реоple Day 9 26 people Day 13 723 people

Influenza Influenza Red Death Red Death (200 pop.) (900 pop.) (200 pop.) (900 pop.) Death Toll 1 26 6. 196 0.5% 2.9% 4.5% 21.8% Day 7 7 people Day 38 868 реople Day 19 | 17 people Day 32 704 people Day Immunity reached its' highest Day ontagiousness as its' highest Day 4 5 people Day 18 153 реоple Day 9 26 people Day 13 723 people

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Compare how the population size increased the death toll, immunity and contentiousness levels of influenza and the Red death. In your response, you MUST USE ALL THE NUMBERS .
三三 三 =▼ 16 2. 3. 4 6. Influenza Influenza Red Death Red Death (200 pop.) (900 pop.) (200 pop.) (900 pop.) Death Toll 1 26 6. 196 0.5% 2.9% 4.5% 21.8% Day Immunity reached its' Day 7 7 people Day 38 868 people Day 19 17 people Day 32 704 people highest Day Contagiousness 5 people vas its' highest Day 18 153 реople Day 9 26 people Day 13 723 people Day 4 lili lıli
Transcribed Image Text:三三 三 =▼ 16 2. 3. 4 6. Influenza Influenza Red Death Red Death (200 pop.) (900 pop.) (200 pop.) (900 pop.) Death Toll 1 26 6. 196 0.5% 2.9% 4.5% 21.8% Day Immunity reached its' Day 7 7 people Day 38 868 people Day 19 17 people Day 32 704 people highest Day Contagiousness 5 people vas its' highest Day 18 153 реople Day 9 26 people Day 13 723 people Day 4 lili lıli
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