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# (Solved): Winter visitors are extremely important to the economy of Florida. Hotel occupancy is an often-repo ...

Winter visitors are extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity. Suppose hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,386 1,458 Total Rooms 1,650 1,800 (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p1 = population proportion of rooms occupied for current year and p2 = population proportion of rooms occupied for previous year.) H0: p1 ? p2 != 0 Ha: p1 ? p2 = 0 H0: p1 ? p2 <= 0 Ha: p1 ? p2 > 0 H0: p1 ? p2 = 0 Ha: p1 ? p2 != 0 H0: p1 ? p2 > 0 Ha: p1 ? p2 <= 0 H0: p1 ? p2 >= 0 Ha: p1 ? p2 < 0 (b) What is the estimated proportion of hotel rooms occupied in the current year? What is the estimated proportion of hotel rooms occupied in the previous year? (c) Using a 0.05 level of significance, what is your hypothesis test conclusion? What is the p-value? Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Reject H0. The data does not suggest there has been an increase in the hotel occupancy rate. Do not reject H0. The data does not suggest there has been an increase in the hotel occupancy rate. Reject H0. The data suggests there has been an increase in the hotel occupancy rate. Do not reject H0. The data suggests there has been an increase in the hotel occupancy rate. (d) What is the 95% confidence interval estimate of the change in occupancy for the one-year period? (Round your answers to three decimal places.) to Do you think area officials would be pleased with the results? Officials would likely with the occupancy statistics. The 95% confidence interval zero. The trend for the current year is in hotel occupancy rates compared to last year.

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