Confidence Intervals, Hypothesis Testing, and ANOVA in COVID-19 Data Analysis

Question 1:Confidence intervals Confidence interval refers to a range of values that one is 95% confident and certain that it contains the true mean of the sample. Variable Lower Interval Upper Interval Age 21.230794 23.1025 # of COVID Vaccines 1.6233091 2.44336 # of tests in 2022 0.3871668 1.41283 # of people in household 3.3719952 4.69467 In this context, the qualitative variable, age, has a confidence interval of 21.23 and 23.10 years. The number of COVID vaccines has a confidence interval of (1.62,2.44) while the number of tests in 2022 has a confidence interval of 0.39 and 1.41. Lastly, the number of people in a household has a confidence interval of 3.37 and 4.69. Question 2: Hypothesis The null hypothesis is that the number COVID Vaccines for Males is equal to the number of COVID Vaccines for Females while the alternative hypothesis is that the number COVID Vaccines for Males is not equal to the number of COVID Vaccines for Females. Hence, H0: μ = number of COVID Vaccines