3. Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. Thesetravelers are known, in the parlance of the hospitality trade, as "no-shows". To protect against no-shows and latecancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotelindustry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for arandom sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19.e) Suppose the relative frequency distribution for the data is bell-shaped, then what percentage of observations are more than18.2?(Hint: use Empirical rule)2.5%32%16%5%

Empirical rule: According to empirical rule, approximately 68% of the data fall within one standard…

Answered: Travelers who have no intention of…

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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A samll town installed a Blue streetlights, in part, to help reduce crime in particular areas. The city collected the number of property crimes along nine randomly selected streets in the month before and after the Blue light installation, and claims that crime has been reduced.The number of crime data is shown in the table. No before Blue Light After Blue Light 1 17 14 2 25 20 3 10 14 4 14 12 5 16 8 6 34 35 7 32 27 8 21 18 9 14 12 a. Specify the competing hypotheses to test the s,all town's claim.b. Calculate the value of the relevant test statistic and find the critical value at the 5% significance level.c. Does the evidence support the small town's claim at the 5% significance level?
It is common to think that the more education anindividual receives, the higher the person's income is likely to be. Does this idea translate to states? The following data represent the percentage of the population that has at least a bachelor s degree and the per capita personal income for a random sample of states. Test the claim that states with a higher percentage of the population with at least a bachelor's degree have a higher per capita personal income at the 0.05 level of significance. Data Percentage of Population with atLeast a Bachelor's Degree Per Capita Personal Income (Dollars) State Arkansas 17.4 24,289 California 29.8 33,749 Iowa 24.6 29,043 Louisiana 22.3 26,100 Maine 23.7 28.831 Nebraska 26.8 30,758 Ohio 25.0 29,944 Oregon 26.4 29.340 Texas 24.7 29,372 Source: Statistical Abstract of the United States, 2004
A sample of 349 students at a university is surveyed. The students are classified according to gender ("female" or "male"). They are also classified according to major ("biology", "business", "engineering", "mathematics", or "computer science"). The results are given in the contingency table below. Biology Business Engineering Mathematics Computer science Female 40 24 33 44 32 Male 29 35 32 37 43 What is the relative frequency of female students in the sample? Round your answer to two decimal places. 0 X S ?
3. Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These travelers are known, in the parlance of the hospitality trade, as "no-shows". To protect against no-shows and late cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19. c) Count the number of measurements that actually fall within the interval(-28, +2s) and express the interval count as a percentage of total number of measurements. at least 75% 100% 68% 95%
A real-estate appraiser wants to verify the market value for homes on the east side of the city that are very similar to size and style. The appraiser wants to test the popular belief that the average sales price is $37.80 per square foot for such homes. Suppose that a random sample of six sales were selected. The sampled sales prices per square foot are $35.00, $38.10, $37.20, $29.80, $30.30, and $35.40. Assuming a normal distribution is a good model for sales, test the claim that the mean sales price per square foot differs from $37.80 at the 1% significance level.
A small college has been accused of gender bias in its admissions to graduate programs. a. Out of 500 men who applied, 255 were accepted. Out of 700 women who applied, 240 were accepted. Find the acceptance rate for each gender. Does this suggest bias? b. The college then looked at each of the two departments with graduate programs and found the data below. Compute the acceptance rate within each department by gender. Does this suggest bias? Department Men Women Applied Admitted Applied Admitted Dept A 400 240 100 90 Dept B 100 15 600 150 c. Looking at our results from Parts a and b, what can you conclude? Is there gender bias in this college’s admissions? If so, in which direction?
One of the theories behind the large polling errors in 2016 election was the "shy Trump voter". According to this explanation, many respondents voted differently than what they told the pollsters. What type of bias does this phenomena introduce to the polls? answer choices 1.Selection bias 2.Response bias 3.Non-response bias 4.Something else
A cross-sectional study is conducted to investigate cardiovascular disease (CVD) risk factors among a sample of patients seeking medical care at one of three local hospitals. A total of 500500 patients are enrolled. Based on the following data, we would like to determine if there is a significant association between the family history of CVD and the enrollment site. Enrollment Site Family History of CVD Hospital 1 Hospital 2 Hospital 3 Total Yes 34 8 58 100 No 104 72 224 400 Total 138 80 282 500 Given: The value of the test statistic is χ2= 6.912 Use α=0.1 as the level of significance. The superintendent of Hospital 2 performed the Goodness of Fit Test to test whether 25% of the patients go to Hospital 1, 15% of the patients go to Hospital 2 and 60% of the patients go to Hospital 3. Given: The superintendent found that the pp-value for the test is 0.25091 Let: p1=p1= be the proportion of patients at Hospital 1 p2=p2= be the proportion of patients at…
If groups of participants are selected to represent sub-groups in the population (e.g. such as selecting an entire class of Social Work students to be compared to a group of Sociology students), this is known as Select one: O a. Cluster sampling. O b. Haphazard sampling. O c. Simple random sampling. O d. Opportunity sampling. If a distribution is negatively skewed, in what order (from lowest to highest) will the averages be? Select one: O a. mean, median, mode O b. mode, median, mean O c. median, mode, mean O d. mean, mode, median

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