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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Some researchers have noted that adolescents who spend a lot of time playing video or computer games are at greater risk for depression and violence. This is an example of: a. an observational study with lurking variables that may explain the association. b. a paired data experiment, because we are studying both aggression and game playing. c. a single-blind experiment, because the subjects knew they were playing games. d. a valid conclusion, because more time yields more aggression is a positive association.
Suppose that you wanted to design an investigation that examined the association between energy drink consumption and social interaction. You select your sample population and begin making your observations. As the research progresses, you suspect that a number of the subjects exhibit behavioral changes simply related to their knowledge of being enrolled in the study and the increased attention they are receiving as subjects. This phenomenon is known as: Group of answer choices selection bias the Hawthorne effect healthy participant effect misclassification error the Rosenthal effect
Kindly assist with creating bar charts, or pie charts for the below results; The results of this study were based on interviews issued and completed by eleven (11) employees at the Hotel. This research study comprised 31.4% of the total workforce across the three departments, with a total of 35 employees who varied in age from 16 years to above 65 years. 63.6% of individuals who participated were female, while 36% were male. The interviews included participation from 30% of employees in the housekeeping department, 33% from Guest Services, and 31% from the Food and Beverage department. There is a higher representation of females across all departments, with a total of 7 females compared to 4 males. There is a range of tenure lengths, with some employees having just started (1 year) and others having been with the hotel for longer periods (up to 14.5 years).
Suppose that a consultant is helping the owner of a local jewelry store set prices for a sale. The owner is considering applying a discount to its most popular engagement ring, currently priced at $1500. The consultant wants to determine if the average amount consumers spend on similar engagement rings is more than $1500. To do this, she selects a random sample of 15 other jewelry stores in the area and records the prices of engagement rings with a similar style, cut, and weight. The prices of these rings are shown below. $1400, $1230, $1450, $1175, $1850, $1060, $1390, $1260, $2850, $1580, $1500, $1850, $1770, $1400, $1775 Using this sample data, she calculates a mean of $1569.33 and a standard deviation of $432.16 and plans to use this information to conduct a one-sample t-test of Ho μ = $1500 against H₁ μ> $1500. Is this an appropriate use of a one-sample t-test? No, because the sample contains an outlier. Yes, because the population is normally distributed. Yes, because the data…
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website). One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast Times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. Source Sum of Squares Degrees Mean Square F P-value of Variation (to whole number) of Freedom (to 2 decimals) (to 2 decimals) (to 4 decimals) X X (X) * X * * Treatments Error Total The p-value is less than 0.01…
A health insurance company is looking at the use of its benefits by its members. It randomly selects 500 members for further study, and one of the pieces of information they collect is the amount the amount of money spent on prescription medications over the past year. The average amount among the 500 members is $600 and the SD is $1,000. A histogram of the amounts is quite skewed to the right, and 40 (8%) of the sampled members have spent $5000 or more on prescription medications in the past year. Calculate a 95%-confidence interval for the percentage of all members who have spent $5000 or more on prescription medications in the last year.
In the twentieth century, it was a common practice in Southern California for houses to be built with pools in the backyard. For new homes, however, that practice may be changing, possibly as a measure to help reduce climate change. A recent study examined a random sample of 140 houses built in Southern California in the twentieth century and an independent, random sample of 81 new houses built in Southern California. The sample of twentieth century houses contained 61 houses with pools, and the sample of new houses contained 24 houses with pools.Based on this survey, can we conclude, at the 0.05 level of significance, that the proportion p1 of all Southern California twentieth century houses that were built with pools is greater than the proportion p2of all new Southern California houses that were built with pools?Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the…
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

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