Questions
What is the difference between a management contract, a brand, and a hotel franchise agreement? Are...

What is the difference between a management contract, a brand, and a hotel franchise agreement? Are all three necessary to run a successful hotel?

In: Economics

A hotel manager claims that the average of the pricethat customer will pay to stay...

A hotel manager claims that the average of the price that customer will pay to stay at their hotel is 500. At α = 0.01 is the claim realistic? The data on the price per night for a sample of six rooms in the hotel are shown.

Price per
night 713   300    292    311    598    401    618

Give a reason why the claim might be deceptive.

In: Statistics and Probability

The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal...

The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal Revenue Service audit. The following table shows the average adjusted gross income reported (in dollars) and the percent of the returns that were audited for 20 selected IRS districts.

District Adjusted
Gross Income ($)
Percent
Audited
Los Angeles 36,664 1.3
Sacramento 38,845 1.1
Atlanta 34,886 1.1
Boise 32,512 1.1
Dallas 34,531 1.0
Providence 35,995 1.0
San Jose 37,799 0.9
Cheyenne 33,876 0.9
Fargo 30,513 0.9
New Orleans 30,174 0.9
Oklahoma City 30,060 0.8
Houston 37,153 0.8
Portland 34,918 0.7
Phoenix 33,291 0.7
Augusta 31,504 0.7
Albuquerque 29,199 0.6
Greensboro 33,072 0.6
Columbia 30,859 0.5
Nashville 32,566 0.5
Buffalo 34,296 0.5

(a)

Develop the estimated regression equation that could be used to predict the percent audited given the average adjusted gross income reported (in dollars). (Round your value for the y-intercept to three decimal places and your value for the slope to six decimal places.)

ŷ =

(b)

At the 0.05 level of significance, determine whether the adjusted gross income (in dollars) and the percent audited are related. (Use the F test.)

State the null and alternative hypotheses.

H0: β1 ≠ 0
Ha: β1 = 0

H0: β1 = 0
Ha: β1 ≠ 0   

H0: β0 ≠ 0
Ha: β0 = 0

H0: β1 ≥ 0
Ha: β1 < 0

H0: β0 = 0
Ha: β0 ≠ 0

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

State your conclusion.

Do not reject H0. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Do not reject H0. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H0. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H0. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

(c)

Did the estimated regression equation provide a good fit? Explain. (Round your answer to three decimal places.)

Since

r2 =

is  ---Select--- less than 0.55 at least 0.55 , the estimated regression equation  ---Select--- provided did not provide a good fit.

(d)

Use the estimated regression equation developed in part (a) to calculate a 95% confidence interval for the expected percent audited for districts with an average adjusted gross income of $37,000. (Round your answers to two decimal places.)

% to  %

In: Statistics and Probability

The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal...

The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal Revenue Service audit. The following table shows the average adjusted gross income reported (in dollars) and the percent of the returns that were audited for 20 selected IRS districts.

District Adjusted
Gross Income ($)
Percent
Audited
Los Angeles 36,664 1.3
Sacramento 38,845 1.1
Atlanta 34,886 1.1
Boise 32,512 1.1
Dallas 34,531 1.0
Providence 35,995 1.0
San Jose 37,799 0.9
Cheyenne 33,876 0.9
Fargo 30,513 0.9
New Orleans 30,174 0.9
Oklahoma City 30,060 0.8
Houston 37,153 0.8
Portland 34,918 0.7
Phoenix 33,291 0.7
Augusta 31,504 0.7
Albuquerque 29,199 0.6
Greensboro 33,072 0.6
Columbia 30,859 0.5
Nashville 32,566 0.5
Buffalo 34,296 0.5

(a)

Develop the estimated regression equation that could be used to predict the percent audited given the average adjusted gross income reported (in dollars). (Round your value for the y-intercept to three decimal places and your value for the slope to six decimal places.)

ŷ =

(b)

At the 0.05 level of significance, determine whether the adjusted gross income (in dollars) and the percent audited are related. (Use the F test.)

State the null and alternative hypotheses.

H0: β1 ≠ 0
Ha: β1 = 0

H0: β1 ≥ 0
Ha: β1 < 0    

H0: β0 = 0
Ha: β0 ≠ 0

H0: β0 ≠ 0
Ha: β0 = 0

H0: β1 = 0
Ha: β1 ≠ 0

Find the value of the test statistic. (Round your answer to two decimal places.)

_______

Find the p-value. (Round your answer to three decimal places.)

p-value = ______

State your conclusion.

Do not reject H0. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Do not reject H0. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.    

Reject H0. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H0. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

(c)

Did the estimated regression equation provide a good fit? Explain. (Round your answer to three decimal places.)

Since

r2 = ________

is (---Select--- less than 0.55 at least 0.55) , the estimated regression equation (---Select--- provided ,did not provide a good fit).

(d)

Use the estimated regression equation developed in part (a) to calculate a 95% confidence interval for the expected percent audited for districts with an average adjusted gross income of $35,000. (Round your answers to two decimal places.)

_____% to _____%

In: Statistics and Probability

5.Contrast the level of security in a hotel that uses a hard-key system with that in...

5.Contrast the level of security in a hotel that uses a hard-key system with that in a hotel that uses an electronic key or smart card system.

In: Operations Management

Exercise 1-4. Information Age [LO 4] The Wellington Hotel is a posh hotel in Manhattan that...

Exercise 1-4. Information Age [LO 4]

The Wellington Hotel is a posh hotel in Manhattan that uses a customer relationship management (CRM) system to track customer preferences and purchases.

Provide two examples of specific information the CRM system might capture and how the hotel could use the information to enhance revenue and/or the customer experience.

In: Accounting

A survey of 1935 people who took trips revealed that 181 of them included a visit...

A survey of 1935 people who took trips revealed that 181 of them included a visit to a theme park. Based on those survey results, a management consultant claims that less than 10 % of trips include a theme park visit. Test this claim using the ?=0.01 significance level.

(a) The test statistic is

(b) The P-value is

(c) The conclusion is  

A. There is not sufficient evidence to support the claim that less than 10 % of trips include a theme park visit.
B. There is sufficient evidence to support the claim that less than 10 % of trips include a theme park visit.

In: Math

New York City is the most expensive city in the United States for lodging. The mean...

New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $205 per night (USA Today, April 30, 2012). Assume that room rates are normally distributed with a standard deviation of $55. Use Table 1 in Appendix B.

a. What is the probability that a hotel room costs $227 or more per night (to 4 decimals)?

b. What is the probability that a hotel room costs less than $143 per night (to 4 decimals)?

c. What is the probability that a hotel room costs between $201 and $299 per night (to 4 decimals)?

d. What is the cost of the 20% most expensive hotel rooms in New York City? Round up to the next dollar.
$ or - Select your answer -more less

In: Statistics and Probability

New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $204 per night.

 

New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $204 per night. Assume that room rates are normally distributed with a standard deviation of $55.

(a)

What is the probability that a hotel room costs $265 or more per night? (Round your answer to four decimal places.)

(b)

What is the probability that a hotel room costs less than $120 per night? (Round your answer to four decimal places.)

(c)

What is the probability that a hotel room costs between $210 and $300 per night? (Round your answer to four decimal places.)

(d)

What is the cost in dollars of the 10% most expensive hotel rooms in New York City? (Round your answer to the nearest cent.)

In: Statistics and Probability

New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $204 per night.†

 

New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $204 per night.† Assume that room rates are normally distributed with a standard deviation of $55.

(a)

What is the probability that a hotel room costs $255 or more per night? (Round your answer to four decimal places.)

(b)

What is the probability that a hotel room costs less than $130 per night? (Round your answer to four decimal places.)

(c)

What is the probability that a hotel room costs between $200 and $280 per night? (Round your answer to four decimal places.)

(d)

What is the cost in dollars of the 20% most expensive hotel rooms in New York City? (Round your answer to the nearest cent.)

$

In: Statistics and Probability