Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year (1) Previous Year (2) 1458 1800 Occupied Rooms (X) 1470 Total Rooms (n) 1750 Compute the 95% confidence interval estimate of the change in occupancy for the one-year period. What is the right limit of the interval? Round to four decimals? Answer:

Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year (1) Previous Year (2) 1458 1800 Occupied Rooms (X) 1470 Total Rooms (n) 1750 Compute the 95% confidence interval estimate of the change in occupancy for the one-year period. What is the right limit of the interval? Round to four decimals? Answer:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

part b please
Please explain step by step
Answer Q.1
SECTION 5.4 13. Normal cattle The Virginia Cooperative Extension reports that the mean weight of yearling Angus steers is 1152 pounds. Sup- pose that weights of all such animals can be described by a Normal model with a standard deviation of 84 pounds. What percent of steers weigh a) over 1250 pounds? b) under 1200 pounds? c) between 1000 and 1100 pounds?
A statistic center compiles data on the length of stay by patients in short-term hospitals. A random sample of 21 patients yielded the data on length of stay, in days, shown below. Complete parts (a) through (e) below. 24 5 6 15 3 16 49 21 23 14 13 6 14 1 10 21 6 11 12 15 21 Determine and interpret the interquartile range (IQR). IQR=
A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) (table is the screenshot picture) a. Calculate the grand mean. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.) b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) c. Calculate SSE and MSE. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) d. Specify the competing hypotheses in order to determine whether some differences exist between the population means. _H0: μA = μB = μC; HA: Not all population means are equal. _H0: μA ≤ μB ≤ μC; HA: Not all population means are equal. _H0: μA ≥ μB ≥ μC; HA: Not all population means are equal. e-1. Calculate the value of the F(df1, df2) test statistic. (Round intermediate calculations to at least 4 decimal…
Young millenials, adults aged 18 to 34, are viewed as the future of the restuarant industry. During 2011, this group consumed a mean of 192 restaurant meals per person (NPI) Group website, November 7, 2012. Conduct a hypothesis test to determine if the poor economy caused a change in the frequency of consuming restaurant meals by young millennials in 2012. a. Formulate hypotheses that can be used to determine whether the annual mean number of resaurant meals per person has changed for young millennials in 2012. b. Based on a sample, the NPD Group stated that the mean number of restaurant meals consumed by young millennials in 2012 was 182. Assume the sample size was 150 and that, based on past studies, the population standard deviation can be assumed to be 55. Use the sample results to compute the test statistic. c. at alpha = .05, what is your conclusion
[Statistics] What is the lower bound of the confidence interval?
Suppose we want to compare scores (which can take on any value within a specified range) at baseline and at follow-up for a given sample. Using the data in the table below, compute a 95% CI for the mean difference in scores. Subject ID Baseline Follow-Up 1 13 6 2 10 8 3 9 11 4 12 11 5 8 5
8.2 Question 3). According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, Arkansas had 1,601 complaints of identity theft out of 3,482 consumer complaints ("Consumer fraud and," 2008). Calculate a 90% confidence interval for the proportion of identity theft in Arkansas.
QUESTION 28 A car insurance company wanted information about the age of its customers. A researcher computed 90%, 95%, 97%, and 99% confidence intervals for the population mean age of the customers. Which of the following intervals is the the 95% confidence interval for the population mean age? (36.30, 39.70) (36.70, 39.30) (36.56, 39.44) (36.91, 39.09)
Answer to question ii ?