1. The incubation period for COVID-19 is the time from infection to the onset of the disease. In the early months of the COVID-19 pandemic, researchers conducted a study of COVID-19 cases from 10 regions in China (except Hubei province) and found that the average incubation period for COVID-19 for their sample of 59 cases was 5.84 days with a standard deviation of 2.93 days. Using this sample information, estimate the average incubation period (in days) for the population (i.e., all) COVID-19 cases in 10 regions of China (except Hubei province) by constructing the 99% confidence interval. Show your work at each calculation, rounding at each calculation to the second decimal place.

Mean: 5.84

Standard Deviation = 2.93

N= 59

S_y-bar = 2.93/(59)

S_y-bar= 2.93/7.68

S_y-bar = .38

99% CI = 5.84 2.58 (.38)

99% CI = 5.84 .98

4.86 < < 6.822.

2. Some colleagues are concerned about your confidence interval calculation. They assert that incubation periods for COVID-19 are not normally distributed, but, instead, are positively skewed, which, in turn, makes the confidence interval calculation meaningless. Assume that they are correct about the distribution of incubation periods for COVID-19. Does that imply that the calculation of a confidence interval is inappropriate? Why or why not?

I need help answering question #2 with the given information.