"Flattening the Curve" of COVID-19

Due Mar 15, 2024 by 11:59pm
Points 5
Submitting a text entry box, a media recording, or a file upload
Available until Mar 22, 2024 at 11:59pm

This assignment was locked Mar 22, 2024 at 11:59pm.

Submit all answers to the questions as either a uploaded word or pdf file or in the text box below. If you prefer, I think some computers can handle recording a video or audio file with your answers. This should not take you much more than 15 minutes to complete. If you have any questions, let me know.

Study these graphs Links to an external site..

If they are too hard to read, use this link Links to an external site..

What quantity is represented on the x-axis? on the y-axis?
What can we tell about the difference between the MEANS of the two normal distributions?
What can we tell about the difference between the STANDARD DEVIATIONS of the two normal distributions?
How is the TOTAL NUMBER OF EXPECTED CASES represented in each graph?
According to this model, would the pandemic ever end? How can you tell?
Why did public health officials want to "flatten the curve"?

The next graph Links to an external site. shows actual data from the European Union and the United Kingdom:

European Centre for Disease Prevention and Control / CC BY-SA (https://creativecommons.org/licenses/by-sa/4.0)

How well does a normal distribution model the actual data? In what way(s) does this graph differ from a normal distribution?
Search the Internet for a graph showing daily new COVID-19 cases in the US as a whole, or in your state, city or county. How well does a normal distribution model this data?

ADDITIONAL RESOURCE: https://www.endcoronavirus.org/countries?fbclid=IwAR3HisQQzBxPOmbuZnHNw12SQoaComFvgnjfJ82QEAGRHt8d5c0TCLWqIGU Links to an external site. accessed 5/8/2020 successful suppression of COVID gives approximately normal distribution