Questions
You operate a luxury hotel in Baltimore that famous celebrities rent for extended periods. The daily...

You operate a luxury hotel in Baltimore that famous celebrities rent for extended periods. The daily price is per room is $1,950. Operating costs average $60,000 per day, regardless of the number of rooms rented. Construct a spreadsheet model to determine the profit if 60 rooms are rented. The manager has observed that the number of rooms rented during any given day varies between 50 and 80 (the total number of rooms available).

a.Use data tables to evaluate the profit for this range of unit rentals.

b.Suppose the manager is considering lowering or increasing the daily price by $100. How will profit be affected? (Hint: use a two-way data table).

In: Statistics and Probability

Once upon a time a new hotel manager, whose staff was responsible for selling banquets and...

Once upon a time a new hotel manager, whose staff was responsible for selling banquets and hotel packages, was highly motivated to take advantage of a year-end bonus program for managers. In order to win the bonus, he needed to bring in new business so he decided to initiate a contest for his sales agents. He announced that he would pay $100 to the agent who had brought in the most new clients by the end of the month. He then sat back in his chair to await the results and decide how he would spend his bonus money. While visions of bonuses danced through his head, his sales agents were busily belly-aching for the following reasons:

(1) They were used to working as a team and resented being encouraged to compete against each other.
(2) In the manager's last contest, a new sales agent had reportedly cheated and "stole" new clients from the old-timers.
(3) The winner of the last contest was paid the prize money several months late, only after she had "shaken" it out of the sales manager.
(4) One sales agent's position had been cut, so the agents felt they were already operating beyond full capacity and working extra hours.
(5) The sales manager had not endeared himself to the agents, and they felt he was just using them to get his bonus.
(6) The sales agents felt as if they were being manipulated and perceivd the $100 bonus as an insult.

Not surprisingly, then, the sales agents decided to ignore the contest. The sales manger was angry when he saw the low level of new business at the end of the month and concluded that the agents were lazy. He told them they were unprofessional and complained about them at staff meetings so that soon everyone in the organization had heard about their "laziness." Old-timers who knew better scratched their heads because they remembered how hard the sales agents used to work before the new manager was hired. Within a few months, some of the agents quit and went to work for a competitor.

Questions:

(1) Should this manager go back to school and learn about the theories of motivation? What mistakes did he make?

(2) Which motivation theories apply to this case? Explain your answer. Does Expectancy Theory apply, and if so, how (explain)? What about Reinforcement Theory or Self-Determination Theory? Be sure to explain your answers.

(3) What do you think the sales manager should have done to try to motivate his sales agents? Relate your motivational strategies to the theories that we have discussed in class.

In: Economics

A resort hotel administrator is assigned to conduct performance reviews of the 47 guest services representatives...

A resort hotel administrator is assigned to conduct performance reviews of the 47 guest services representatives at the resort, and the length of time that the administrator typically spends doing each of these performance reviews is normally distributed with a mean of 63.9 minutes and a standard deviation of 18.4 minutes. The administrator is scheduled to meet with 7 guest service representatives today.

Standard Normal Distribution Table

a. What is the probability that the administrator will spend an average of less than one hour with each of the representatives?

Round to four decimal places if necessary

b. What is the probability that the administrator will spend a total of more than 7.5 hours with all 7 of the representatives?

Round to four decimal places if necessary

c. Within what range of values will the middle 99% of average times spent with each of the 7 representatives fall?

Range:

to

minutes

Round to one decimal place if necessary

d. What is the maximum total length of time the administrator would expect to spend with all 7 guest service representatives today, with a probability of 0.98?

minutes

Round to one decimal place if necessary

In: Statistics and Probability

Use the SEM formula and show all work. How satisfied are hotel managers with the computer...

Use the SEM formula and show all work.

How satisfied are hotel managers with the computer systems their hotels use? A survey was sent to 400 managers in hotels of size 200 to 500 rooms in Chicago and Detroit. In all, 101 managers returned the survey. Two questions concerned their degree of satisfaction with the ease of use of their computer systems and with the level computer training they had received. The managers responded using a seven-point scale, with 1 meaning "not satisfied", and 4 meaning "moderately satisfied," and 7 meaning "very satisfied".

a. What do you think is the population for this study? What are the major shortcomings in the obtained data?

b. The mean response for satisfaction with ease of use was 5.396. Find the 95% confidence interval for the managers sampled. (Assume the sample SD = 1.75)

c. Provide an interpretation for your answer in part B.

d. For satisfaction with training, the mean response was 4.398. Assuming the sample SD is 1.75, find the 99% confidence interval for the managers sampled.

e. Provide an interpretation of your answer obtained for part D.

In: Statistics and Probability

The file Hotel Prices contains the prices in British pounds (about US$ 1.52 as of July...

The file Hotel Prices contains the prices in British pounds (about US$ 1.52 as of July 2013) of a room at two-star, three-star, and four-star hotels in cities around the world in 2013.

City Two-Star Three-Star Four-Star
Amsterdam 74 88 116
Bangkok 23 35 72
Barcelona 65 90 106
Beijing 35 50 79
Berlin 63 58 76
Boston 102 132 179
Brussels 66 85 98
Cancun 42 85 205
Chicago 66 115 142
Dubai 84 67 111
Dublin 48 66 87
Edinburgh 72 82 104
Frankfurt 70 82 107
Hong Kong 42 87 131
Istanbul 47 77 91
Las Vegas 41 47 85
Lisbon 36 56 74
London 74 90 135
Los Angeles 80 118 200
Madrid 47 66 79
Miami 84 124 202
Montreal 76 113 148
Mumbai 41 72 90
Munich 79 97 115
New York 116 161 206
Nice 69 87 133
Orlando 45 78 120
Paris 76 104 150
Rome 75 82 108
San Francisco 92 137 176
Seattle 95 120 166
Shanghai 22 49 79
Singapore 58 104 150
Tokyo 50 82 150
Toronto 72 92 149
Vancouver 74 105 146
Venice 87 99 131
Washington 85 128 158

e. Compute the covariance between the average price at two-star and three-star hotels, between two-star and four-star hotels, and between three-star and four-star hotels.

f. Compute the coefficient of correlation between the average price at two-star and three-star hotels, between two-star and four-star hotels, and between three-star and four-star hotels.

g. Which do you think is more valuable in expressing the relation-ship between the average price of a room at two-star, three-star, and four-star hotels—the covariance or the coefficient of cor-relation? Explain.

h. Based on (f), what conclusions can you reach about the relationship between the average price of a room at two-star, three-star, and four-star hotels?

In: Statistics and Probability

In exercise 12, the following data on x = average daily hotel room rate and y...

In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment (The Wall Street Journal, August 18, 2011) lead to the estimated regression equation ŷ = 17.49 + 1.0334x. For these data SSE = 1541.4. Click on the webfile logo to reference the data.

a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals).
$

b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals).
$ to $

c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).
$ to $

  • Check My Work

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Question 7 of 10

Exercise 12.39

In: Statistics and Probability

The file Hotel Prices contains the prices in British pounds (about US$ 1.52 as of July...

The file Hotel Prices contains the prices in British pounds (about US$ 1.52 as of July 2013) of a room at two-star, three-star, and four-star hotels in cities around the world in 2013.

City

Two-Star

Three-Star

Four-Star

Amsterdam

74

88

116

Bangkok

23

35

72

Barcelona

65

90

106

Beijing

35

50

79

Berlin

63

58

76

Boston

102

132

179

Brussels

66

85

98

Cancun

42

85

205

Chicago

66

115

142

Dubai

84

67

111

Dublin

48

66

87

Edinburgh

72

82

104

Frankfurt

70

82

107

Hong Kong

42

87

131

Istanbul

47

77

91

Las Vegas

41

47

85

Lisbon

36

56

74

London

74

90

135

Los Angeles

80

118

200

Madrid

47

66

79

Miami

84

124

202

Montreal

76

113

148

Mumbai

41

72

90

Munich

79

97

115

New York

116

161

206

Nice

69

87

133

Orlando

45

78

120

Paris

76

104

150

Rome

75

82

108

San Francisco

92

137

176

Seattle

95

120

166

Shanghai

22

49

79

Singapore

58

104

150

Tokyo

50

82

150

Toronto

72

92

149

Vancouver

74

105

146

Venice

87

99

131

Washington

85

128

158

a. Compute the mean, median, first quartile, and third quartile.

b. Compute the range, interquartile range, variance, standard de-viation, and coefficient of variation.

c. Interpret the measures of central tendency and variation within the context of this problem.

d. Construct a boxplot. Are the data skewed? If so, how?

e. Compute the covariance between the average price at two-star and three-star hotels, between two-star and four-star hotels, and between three-star and four-star hotels.

f. Compute the coefficient of correlation between the average price at two-star and three-star hotels, between two-star and four-star hotels, and between three-star and four-star hotels.

g. Which do you think is more valuable in expressing the relation-ship between the average price of a room at two-star, three-star, and four-star hotels—the covariance or the coefficient of cor-relation? Explain.

h. Based on (f), what conclusions can you reach about the relationship between the average price of a room at two-star, three-star, and four-star hotels?

In: Statistics and Probability

Round Tree Manor is a hotel that provides two types of rooms with three rental classes:...

Round Tree Manor is a hotel that provides two types of rooms with three rental classes: Super Saver, Deluxe, and Business. The profit per night for each type of room and rental class is as follows:

Rental Class



Room

Super Saver

Deluxe

Business

Type I

$38

$43

Type II

$16

$28

$45

Type I rooms do not have wireless Internet access and are not available for the Business rental class.

Round Tree's management makes a forecast of the demand by rental class for each night in the future. A linear programming model developed to maximize profit is used to determine how many reservations to accept for each rental class. The demand forecast for a particular night is 140 rentals in the Super Saver class, 50 rentals in the Deluxe class, and 40 rentals in the Business class. Round Tree has 110 Type I rooms and 110 Type II rooms.

  1. Use linear programming to determine how many reservations to accept in each rental class and how the reservations should be allocated to room types.

Variable

# of reservations

SuperSaver rentals allocated to room type I

SuperSaver rentals allocated to room type II

Deluxe rentals allocated to room type I

Deluxe rentals allocated to room type II

Business rentals allocated to room type II

  1. How many reservations can be accommodated in each rental class?

Rental Class

# of reservations

SuperSaver

Deluxe

Business

In: Math

you are a hotel manager, and are considering four projects that yield different payoffs, depending upon...

you are a hotel manager, and are considering four projects that yield different payoffs, depending upon whether there is an economic boom or recession. The potential payoffs and corresponding payoffs are summarized in the following table.

Boom (60%)

Recession (40%)

A

50

-5

B

30

-30

C

20

10

D

60

-30

Calculating expected value and standard deviation, and explain what is your preferred project if you are risk neutral? Risk averse? If you could combine project C and D together as one project, how is it compared with project A in terms of return and risks? please show working out and formulas

In: Economics

Reid Harper, the manager at Modix Hotel, makes every effort to ensure that customers attempting to...

Reid Harper, the manager at Modix Hotel, makes every effort to ensure that customers attempting to make phone reservations do not have to wait too long to speak with a reservation specialist. Since the hotel accepts phone reservations 24 hours a day, Reid is especially interested in maintaining consistency in service. Reid wants to determine if the variance of wait time in the early morning shift (12:00 am – 6:00 am) differs from that in the late morning shift (6:00 am – 12:00 pm). He uses independently drawn samples of wait time for phone reservations for both shifts for the analysis; a portion of the data is shown in the accompanying table. Assume that wait times are normally distributed.

Early Morning Shift Late Morning Shift
31 105
62 105
34 160
73 122
31 113
44 136
46 115
50 139
67 138
75 134
58 116
41 124
82 119
59 91
44 125
27 126
46 127
67 115
42 109
52 124
45 120
67 118
60 126
43 117

a. Select the hypotheses to test if the variance of wait time in the early morning shift differs from that in the late morning shift.


  • H0: σ12 / σ22 = 1, HA: σ12 / σ22 ≠ 1

  • H0: σ12 / σ22 ≤ 1, HA: σ12 / σ22 > 1

  • H0: σ12 / σ22 ≥ 1, HA: σ12 / σ22 < 1

b-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)

b-2. Find the p-value.


c. At the 10% significance level, what is your conclusion?

  • Reject H0, since the p-value is more than α.

  • Reject H0, since the p-value is less than α.

  • Do not reject H0, since the p-value is less than α.

  • Do not reject H0, since the p-value is more than α.


d. Interpret the results at  α = 0.10.


  • The variance of wait time in the early morning shift is greater than that in the late morning shift.

  • The variance of wait time in the early morning shift is not greater than that in the late morning shift.

  • The variance of wait time in the early morning shift differs from that in the late morning shift.

  • The variance of wait time in the early morning shift does not differ from that in the late morning shift.

In: Math