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Q1. Ahealthcarecompanyis studying 250 Connecticut schools, and measures the percent ofstudents who have contracted COVID-19.The variable is Normally distributed, with mean27.25% and standard deviation 15.4%.The healthcare company wants to study thepopulation mean percent of CT students who have contracted COVID-19.

Assume the t-Interval is appropriate and the assumptions are met.Using the 95% confidence interval, is there evidence that the population mean percent of CT students who have contracted COVID-19 is 23%?Why or why not?

a. Yes, because 23% is inside the confidence interval.

b. Yes, because 23% is outside the confidence interval.

c. No, because 23% is inside the confidence interval.

d. No, because 23% is outside the confidence interval.

Q2. Ahealthcarecompanyis studying 250 Connecticut schools, and measures the percent ofstudents who have contracted COVID-19.The variable is Normally distributed, with mean27.25% and standard deviation 15.4%.The healthcare company wants to study thepopulation mean percent of CT students who have contracted COVID-19.

Assume the t-Interval is appropriate and the assumptions are met.Using the 95% confidence interval, is there evidence that the population mean percent of CT students who have contracted COVID-19 is 27%?Why or why not?

a. Yes, because 27% is inside the confidence interval.

b. Yes, because 27% is outside the confidence interval.

c. No, because 27% is inside the confidence interval.

d. No, because 27% is outside the confidence interval.

Q3. Ahealthcarecompanyis studying 250 Connecticut schools, and measures the percent ofstudents who have contracted COVID-19.The variable is Normally distributed, with mean27.25% and standard deviation 15.4%.The healthcare company wants to study thepopulation mean percent of CT students who have contracted COVID-19.

Assume the t-Interval is appropriate and the assumptions are met.Explain what would happen if we kept the confidence level at 95%, but collected more data in our sample.

a. Nothing would change.

b. The confidence interval width would shrink.

c. The confidence interval width would increase.

d. The confidence interval point estimate would shrink.

Q4. Ahealthcarecompanyis studying 250 Connecticut schools, and measures the percent ofstudents who have contracted COVID-19.The variable is Normally distributed, with mean27.25% and standard deviation 15.4%.The healthcare company wants to study thepopulation mean percent of CT students who have contracted COVID-19.

Assume the t-Interval is appropriate and the assumptions are met.We have already calculated a 95% confidence interval.What could we do if we wanted a wider confidence interval, but wanted to keep our sample size the same?

a. Collect more data.

b. Throw out data.

c. Decrease the confidence level.

d. Increase the confidence level.

Q5. Ahealthcarecompanyis studying 250 Connecticut schools, and measures the percent ofstudents who have contracted COVID-19.The variable is Normally distributed, with mean27.25% and standard deviation 15.4%.The healthcare company wants to study thepopulation mean percent of CT students who have contracted COVID-19.

Assume the t-Interval is appropriate and the assumptions are met.We have already calculated a 95% confidence interval.What could we do if we wanted a narrower confidence interval, but wanted to keep our sample size the same?

a.Throw out data.

b. Collect more data.

c. Decrease the confidence level.

d. Increase the confidence level.