Five Seasons Hotel is a chain with 10 hotels. Strategically, the chain implements a cookie-cutter approach to building and running its hotels, in that all hotels are practically identical. Five Seasons invested $150 million in acquiring the land for all hotels and $500 million in building and furnishing the 10 hotels to a guest-ready stage. Each hotel has 150 rooms. Each room has a rack rate of $200 per night but the hotel gives an average of discount of $30 per night off this base price. Each hotel costs $1 million in materials to run, and is staffed by 58 employees, each paid an average compensation of $50,000 a year. This staffing level implies a certain service level, which together with the rack rate and discount, determines the chain’s average occupancy rate—the percent of available rooms sold—in this approximate way:
Chain-wide average occupancy rate = 0.01 ? number of employees per hotel
? ( 0.0015 ?base Price ) + ( 0.01 ? discount),
subject to a maximum of 100% and minimum of 0% (base Price and discount are expressed in [$]). The company operates 365 nights a year.
1. Draw the ROIC tree and discuss its structure.
2. Use this tree to compute the current ROIC?
3. Reducing the number of employees reduces staffing costs, but it also reduces the occupancy rate when service level drops. What is the ROIC if Five Seasons reduces the number of employees to 50 per hotel?

The structure of the hotel industry

1- Describe the organizational chart of a 68-room, economy class hotel, franchised under a major chain’s logo, which has no food and beverageservice, not even breakfast.
2- Sketch the floor plan of the same hotel described abov

FORECASTING AVAILABILITY AND OVERBOOKING

A- On October 6, a 300-room property had occupancy of 70%. What is forecasted occupancy for October 7 if:
• 10 rooms are put out-of-order at 9am on October 6
• 150 rooms are on reservation
• Registration information indicates 101 rooms will depart today
• The hotel as an historical 6% cancellation rate
• The hotel as an historical 10% no-show rate

B- Assume that a 200-room hotel sold 50% of its rooms last night. Today, we anticipate that 75 rooms will depart. We hold60 6pm reservations and 90 guaranteed reservations. There are no advance deposits. What is the forecasted number of rooms available for sale
C- Assume that a given property has 300 rooms. After accounting for the day's departures and arrivals, 100 roomsremain unsold. Of these 100 rooms available, 50 rooms cannot be sold because they are out-of-inventory. In this case, theforecasted occupancy percentage would be

note : please expert right the answer on a paper to avoid plagorism paper and download it here . thankyou for your help

this is not a marketing class its front office

1) Test the claim that the proportion of people who own cats is smaller than 60% at the 0.05 significance level.

The null and alternative hypothesis would be:

H0:p=0.6H0:p=0.6
H1:p≠0.6H1:p≠0.6

H0:μ≥0.6H0:μ≥0.6
H1:μ<0.6H1:μ<0.6

H0:μ=0.6H0:μ=0.6
H1:μ≠0.6H1:μ≠0.6

H0:p≤0.6H0:p≤0.6
H1:p>0.6H1:p>0.6

H0:μ≤0.6H0:μ≤0.6
H1:μ>0.6H1:μ>0.6

H0:p≥0.6H0:p≥0.6
H1:p<0.6H1:p<0.6

The test is:

two-tailed

right-tailed

left-tailed

Based on a sample of 100 people, 59% owned cats

The test statistic is:  (to 2 decimals)

The p-value is:  (to 2 decimals)

Based on this we:

Fail to reject the null hypothesis

Reject the null hypothesis

2) Test the claim that the proportion of people who own cats is larger than 80% at the 0.10 significance level.

The null and alternative hypothesis would be:

H0:p=0.8H0:p=0.8
H1:p≠0.8H1:p≠0.8

H0:μ≥0.8H0:μ≥0.8
H1:μ<0.8H1:μ<0.8

H0:p≤0.8H0:p≤0.8
H1:p>0.8H1:p>0.8

H0:μ=0.8H0:μ=0.8
H1:μ≠0.8H1:μ≠0.8

H0:p≥0.8H0:p≥0.8
H1:p<0.8H1:p<0.8

H0:μ≤0.8H0:μ≤0.8
H1:μ>0.8H1:μ>0.8

The test is:

right-tailed

left-tailed

two-tailed

Based on a sample of 600 people, 88% owned cats

The p-value is:  (to 2 decimals)

Based on this we:

Fail to reject the null hypothesis

Reject the null hypothesis

The Toylot company makes an electric train with a motor that it claims will draw an average of only 0.8 ampere (A) under a normal load. A sample of nine motors was tested, and it was found that the mean current was x = 1.40 A, with a sample standard deviation of s = 0.49 A. Do the data indicate that the Toylot claim of 0.8 A is too low? (Use a 1% level of significance.)

What are we testing in this problem? single proportion single mean

(a) What is the level of significance? State the null and alternate hypotheses. H0: μ = 0.8; H1: μ ≠ 0.8 H0: μ ≠ 0.8; H1: μ = 0.8 H0: p = 0.8; H1: p ≠ 0.8 H0: p ≠ 0.8; H1: p = 0.8 H0: μ = 0.8; H1: μ > 0.8 H0: p = 0.8; H1: p > 0.8

(b) What sampling distribution will you use? What assumptions are you making? The Student's t, since we assume that x has a normal distribution with unknown σ. The Student's t, since we assume that x has a normal distribution with known σ. The standard normal, since we assume that x has a normal distribution with unknown σ. The standard normal, since we assume that x has a normal distribution with known σ. What is the value of the sample test statistic? (Round your answer to three decimal places.)

(c) Find (or estimate) the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.050 < P-value < 0.125 0.025 < P-value < 0.050 0.005 < P-value < 0.025 P-value < 0.005

*****Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low. There is insufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low.

The Toylot company makes an electric train with a motor that it claims will draw an average of only 0.8 ampere (A) under a normal load. A sample of nine motors was tested, and it was found that the mean current was x = 1.32 A, with a sample standard deviation of s = 0.49 A. Do the data indicate that the Toylot claim of 0.8 A is too low? (Use a 1% level of significance.) What are we testing in this problem? single mean single proportion (a) What is the level of significance? State the null and alternate hypotheses. H0: μ = 0.8; H1: μ ≠ 0.8 H0: μ = 0.8; H1: μ > 0.8 H0: p ≠ 0.8; H1: p = 0.8 H0: p = 0.8; H1: p > 0.8 H0: μ ≠ 0.8; H1: μ = 0.8 H0: p = 0.8; H1: p ≠ 0.8 (b) What sampling distribution will you use? What assumptions are you making? The standard normal, since we assume that x has a normal distribution with known σ. The standard normal, since we assume that x has a normal distribution with unknown σ. The Student's t, since we assume that x has a normal distribution with known σ. The Student's t, since we assume that x has a normal distribution with unknown σ. What is the value of the sample test statistic? (Round your answer to three decimal places.) (c) Find (or estimate) the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.050 < P-value < 0.125 0.025 < P-value < 0.050 0.005 < P-value < 0.025 P-value < 0.005 Sketch the sampling distribution and show the area corresponding to the P-value. WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low. There is insufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low.

The Toylot company makes an electric train with a motor that it claims will draw an average of only 0.8 ampere (A) under a normal load. A sample of nine motors was tested, and it was found that the mean current was x = 1.32 A, with a sample standard deviation of s = 0.49 A. Do the data indicate that the Toylot claim of 0.8 A is too low? (Use a 1% level of significance.) What are we testing in this problem? single mean single proportion (a) What is the level of significance? State the null and alternate hypotheses. H0: μ = 0.8; H1: μ ≠ 0.8 H0: μ = 0.8; H1: μ > 0.8 H0: p ≠ 0.8; H1: p = 0.8 H0: p = 0.8; H1: p > 0.8 H0: μ ≠ 0.8; H1: μ = 0.8 H0: p = 0.8; H1: p ≠ 0.8 (b) What sampling distribution will you use? What assumptions are you making? The standard normal, since we assume that x has a normal distribution with known σ. The standard normal, since we assume that x has a normal distribution with unknown σ. The Student's t, since we assume that x has a normal distribution with known σ. The Student's t, since we assume that x has a normal distribution with unknown σ. What is the value of the sample test statistic? (Round your answer to three decimal places.) (c) Find (or estimate) the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.050 < P-value < 0.125 0.025 < P-value < 0.050 0.005 < P-value < 0.025 P-value < 0.005 Sketch the sampling distribution and show the area corresponding to the P-value. WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low. There is insufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low.

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.

Run the single-factor ANOVA for this data:

Fill in the summary table for the ANOVA test:

From this table, obtain the necessary statistics for the ANOVA:
F-ratio:  
p-value:  
η2=η2=

What is your final conclusion? Use a significance level of α=0.02α=0.02.

• These data do not provide evidence of a difference between the treatments
• There is a significant difference between treatments

21. Suppose the US experiences a natural disaster in which a tornado passes through most of the country. This tornado ended up destroying the infrastructure of some highways, factories, and houses across the nation. Unfortunately, 5% of the population did not survive. Assuming the production function is Y = A K 0.3 N 0.7, respond to the following questions:

    Part 1:
    Given this natural disaster, how would the factors of production included in the production function above be impacted? Would total factor productivity (A), physical capital (K), and labor (N) increase, decrease, or remain unchanged? Justify your answer.

    Part 2:
    Given the economic shock experienced by this economy, would the marginal product of labor (MPN) and the marginal product of capital (MPK) be impacted in your view? If so, would they increase or decrease? Justify your answer graphically. Please use Y in your y-axis and K or N in the x-axis, be sure to label it properly. (Hint: it can be helpful to recall how the MPN and MPK are represented in the production function graph and how this shock will impact the production curve.)

by deed, the bland family donated 50 acres of land to the city for the use of a park upon condition that the park be used for whites only and if this ever ceased to be the use, the property would revert back to the family. this provision in the deed is a condtion subsequent. True or False?

1. Apple’s Worldwide Revenues from 2004 to 2019 is as follows:

1. Enter the data above into the tab labeled Apple. Graph the data in Excel and use your graph to determine what kind of time series pattern exist. Put your answer in your spreadsheet.
2. Make the following forecasts for 2020. For all of them, use Mean Squared Error to determine which of the forecasts is the best. Make sure your answers are clearly labeled.
   1. Naïve forecast from one prior time period
   2. Calculate a 4-period moving average
   3. Calculate a 3-period moving average with the following weights for time t: time period t-1=0.8, t-2 = 0.15, t-3=.05
3. In the tab called Apple Smoothing, use the data from 3. to forecast 2020 using an alpha equal to 0.7, 0.8, and 0.9. Using MSE, which one offers the best estimate for 2020?
4. In the tab called Apple Regression, use the information from 3. and run a regression to determine your forecast for 2020
   1. Put your regression output in F1 of the same workbook.
   2. Calculate what your forecast is for 2020 in F21.
   3. How does well does this regression equation predict revenue? Write your answer in F22. In addition, explain what your numerical answer means in words.

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