Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for Februaryin two consecutive years are as follows.OccupiedRoomsTotalRoomsHo: P₁ P₂ #0Ha: P1 - P2 = 0Current Year Previous YearHo: P1 - P2 = 0Ha: P₁P₂ #0Ho: P₁Ha: P₁(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 p₁rooms occupied for current year and =P2 population proportion of rooms occupied for previous year.)-Ho: P₁Ha: P₁P₂ < 0P₂ = 0Ho: P₁-P₂ ≥ 0Ha: P1₁ - P₂ <01,470P₂ ≤ 0P₂ > 01,7501,4401,800= population proportion of

Given that n1 = total number of rooms in the current year = 1750 X1 = number of rooms occupied in…

Answered: Tourism is extremely important to the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The Virginia Highway patrol is interested in determining if concentration affects driving speed. They randomly assign a group of drivers to either intermittently look at a cell phone or to not look at a cell phone. They then install a monitoring device that will record their driving speed at randomly determined intervals on a local interstate. What is the best statistical test to conduct? O independent groups t test O correlated groups t test O One Way Between Subjects ANOVA O One Way Repeated Measures ANOVA
gnment 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 Previous Year Occupied Rooms Total Rooms 1,540 1,750 1,530 1,800 a. Formulate the hypothesis test that can be used to determine whether 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 P2 =population proportion of rooms occupied for previous year Ho P1 P2 less than or equal to 0 Ha P1 P2 greater than 0 b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year 0.88 Previous Year 0.85 c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. p-value = 0.0044 Using a 0.05 level of significance, what is your conclusion? We can conclude that…
Ambulance response time. Ambulance response time is measured as the time (in minutes) between the initial call to emergency medical services (EMS) and when the pa-tient is reached by ambulance. Geographical Analysis (Vol. 41, 2009) investigated the characteristics of ambu-lance response time for EMS calls in Edmonton, Alberta. For a particular EMS station (call it Station A), ambulance response time is known to be normally distributed with ?=7.5 minutes and ? = 2.5 minutes. a.Regulations require that 90% of all emergency calls should be reached in 9 minutes or less. Are the regulations met at EMS station A? Explain. b.A randomly selected EMS call in Edmonton has an ambulance response time of 2 minutes. Is it likely that this call was serviced by Station A? Explain.
The age of first marriage for women who responded to a survey by the CDC between 2006 and 2010 is used here. The women who first married in their twenties were randomly divided into three groups: A, B, and C. The ANOVA output is supplied below: Count NAS (Missings) 3773 group Count A 1288 B 1246 C 1239 Frequency Source DF 2 group Residual 3770 28 26 24 Response Variable (age) Summary Mean 22 20 T 0 Group Variable Summary NAS Mean (Missings) 23.73787 A 0 23.76941 0 23.77929 0 23.66344 ANOVA Table: age-group Sum of Squares 10.283 26969 Mean Square Std. Dev. Std. Dev. 2.674442 B F Value Pr>F MSG 0.71875 0.48743 MSE Age of First Marriage in 20's 2.728097 2.664101 2.628699 C
Select the most appropriate answer. The prediction error for an observation, which is the difference between the actual value and the predicted value of the response variable, is called O a residual O a correlation O an outlier O an extrapolation
Identify the independent variable, the dependent variable, and the unit of analysis in the following hypothesis: families that eat dinner together regularly have closer relationships than those who do not.
The statistical procedure that calculates a linear relationship between two interval/ratio variables is known as _______.
Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 75 62 64 63 62 70 69 70 67 Weight (lbs) 325 250 280 220 235 265 200 365 175 (CLO 1) Construct a confidence interval to estimate the mean height and the mean weight.
Which statistical analysis is needed to address this research question: Relationship commitment will change over time. One sample t-test Two sample t-test ANOVA Paired sample t-test
The value of the ___________ is used to estimate the value of the population parameter.
In a Gallup poll of 1040 randomly selected adults, 49% answered "yes" when asked "Do you have a gun in your home?" Identify the sample Identify the population Is the value of 49% a statistics or a parameter? Are the numbers of subjects in such surveys discrete or continuous? The responses are “yes,” “no,” “not sure,” ”refused to answer.” Are these answers quantitative data or categorical data? Also, determine whether the sample is likely to be representative of the population.

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