1. Read the Color of Coronavirus article and examine the data presented.
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The following table presents tabulated data for cases, hospitalizations, and deaths from COVID-19 in the state of Georgia from March 1 to July 30, 2020. Use this information to answer the following questions. Age Number of infections Number of Hospitalizations Number of Deaths Population Age 0-17 14,664 237 1 2,496,000 Age 18-39 76,013 2,917 96 3,066,000 Age 40-60 55,590 5,881 1,000 2,742,000 Age > 60 34,709 9,227 2,425 1,796,000 What is the overall cumulative incidence of COVID-19? What age group has the highest cumulative incidence of COVID-19 cases? Hospitalizations? Deaths? For each of these, state their values, with appropriate units. How does the incidence rate of COVID-19 infection differ between the 18-39 age group and the > 60 age group? IR = # new cases / population at risk / time period of observation How does the incidence rate of COVID-19 hospitalization differ between the 18-39 age group and the > 60 age group? What is the risk ratio for COVID-19 infections in the >60 age group vs. in the 18-39 age group? What is the risk ratio for COVID-19 mortality in the 18-39 age group vs. in the >60 age group? The mortality rates for the seasonal flu are given in the table below. For each age group, how does the mortality rate of the flu compare to the mortality rate of COVID-19? Fill in the table and then describe your findings in words. Age Flu mortality rate (deaths/100,000 per year) COVID mortality rate (deaths/100,000 per year)* Age 0-17 0.4 Age 18-39 0.9 Age 40-60 6.2 Age > 60 100
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A study by researchers at the University of Maryland addressed the question of whether the mean body temperature of humans is $98.6^{\circ} \mathrm{F}$. The results of the study by P. Mackowiak et al. appeared in the article "A Critical Appraisal of $98.6^{\circ} \mathrm{F},$ the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" (Journal of the American Medical Association, Vol. 268, pp. 1578-1580). Among other data, the researchers obtained the body temperatures of 93 healthy humans, as provided on the WeissStats CD. Use the technology of your choice to do the following. a. Obtain a normal probability plot, boxplot, histogram, and stem-and-leaf diagram of the data. b. Based on your results from part (a), can you reasonably apply one-standard-deviation $x^{2}$ -procedures to the data? Explain your reasoning. c. In Exercise 9.81. you were asked to use these data to decide whether mean body temperature of healthy humans differs from $98.6^{\circ} \mathrm{F}$. There, you were to assume that the population standard deviation of body temperatures for healthy humans is $0.63^{\circ} \mathrm{F}$. At the $5 \%$ significance level, do the data provide evidence against that assumption? d. Find and interpret a $95 \%$ confidence interval for the population standard deviation of body temperatures for healthy humans.
Inferences for Population Standard Deviations
Inferences for One Population Standard Deviation
Use the technology of your choice to a. obtain and interpret the quartiles. b. determine and interpret the interquartile range. c. find and interpret the five-number summary. d. identify potential outliers, if any. e. obtain and interpret a boxplot. A study by researchers at the University of Maryland addressed the question of whether the mean body temperature of humans is $98.6^{\circ} \mathrm{F}$. The results of the study by P. Mackowiak et al. appeared in the article "A Critical Appraisal of $98.6^{\circ} \mathrm{F},$ the Upper limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" (Journal of the American Medical Association, Vol. 268, pp. $1578-1580$ ). Among other data, the researchers obtained the body temperatures of 93 healthy humans, as provided on the WeissStats CD.
Descriptive Measures
The Five-Number Summary; Boxplots
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