Since March of 2020, we have experienced an extremely unusual reaction to the COVID-19 virus. In the beginning, our state was asked to stay at home in order to "flatten the curve." This curve is a distribution curve and is based on statistical data. Your job is to research and answer the following questions. For questions #1 and #3, I expect citations as to where your info came from. 1) Explain what it meant to "flatten the curve." 2) Can this data be skewed, in one direction or the other? If so, what is the advantage to skewing the data? 3) Based on data from the CDC, did California flatten the curve in March 2020? If not, when did the flattening of the curve occur? 4) Did the distribution curve itself visually explain the cause for the stay-at-home-order? In other words, did you see this image back in March 2020 and understand what it meant? If not, why? 5) Where else have you seen a distribution curve?
Since March of 2020, we have experienced an extremely unusual reaction to the COVID-19 virus. In the beginning, our state was asked to stay at home in order to "flatten the curve." This curve is a distribution curve and is based on statistical data. Your job is to research and answer the following questions. For questions #1 and #3, I expect citations as to where your info came from.
1) Explain what it meant to "flatten the curve."
2) Can this data be skewed, in one direction or the other? If so, what is the advantage to skewing the data?
3) Based on data from the CDC, did California flatten the curve in March 2020? If not, when did the flattening of the curve occur?
4) Did the distribution curve itself visually explain the cause for the stay-at-home-order? In other words, did you see this image back in March 2020 and understand what it meant? If not, why?
5) Where else have you seen a distribution curve?
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