During the 2017-2018 flu season, a random sample of 180 hospitalizations related to flu was studied. It was later determined that 19 patients have died. A similar study during the 2018-2019 flu season revealed that in a random sample of 180 hospitalized cases related to flu, there were 16 deaths observed. At 5% significance level, test the claim that the percentage of deaths in 2017-2018 is greater than the percentage of deaths in the 2018-2019 season. Procedure: Two proportions Z Hypothesis Test Assumptions: (select everything that applies) Normal populations Population standard deviation are unknown but assumed equal The number of positive and negative responses are both 10 or more for each sample Paired samples Population standard deviation are unknown Sample sizes are both greater than 30 Simple random samples Population standard deviations are known Independent samples Step 1. Hypotheses Set-Up: Ho: Select an answer H: Select an answer ?~ Step 2. The significance level a = 96…

In hypothesis testing, a Type I error is:A. Failing to reject a false null hypothesisB. Rejecting a true null hypothesisC. Choosing the wrong statistical testD. A computational rounding error

A 95% confidence interval for a mean is (10, 16). Which statement is correct?A. There is a 95% probability the population mean lies between 10 and 16.B. 95% of the sample data lie between 10 and 16.C. If we repeat the sampling procedure many times, ~95% of such CIs will contain the true mean.D. The true mean is definitely 13.