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 = 1.30 A, with a sample standard
deviation of s = 0.42 A. Do the data indicate that the
Toylot claim of 0.8 A is too low? (Use a 1% level of
significance.)
1. What are we testing in this problem? single mean or single
proportion?
(a) What is the level of significance?
2. State the null and alternate hypotheses.
H0: μ = 0.8; H1: μ > 0.8H0: μ = 0.8; H1: μ ≠ 0.8 H0: μ ≠ 0.8; H1: μ = 0.8H0: p = 0.8; H1: p > 0.8H0: p = 0.8; H1: p ≠ 0.8H0: 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 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.
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 > 0.2500.125 < P-value < 0.250 0.050 < P-value < 0.1250.025 < P-value < 0.0500.005 < P-value < 0.025P-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.
In: Statistics and Probability
Terminal 5 (T5), built by British Airways for $8.6 billion, is London Heathrow Airport's newest state- of-the-art facility. Made of glass, concrete, and steel, it's the largest free-standing building in the United Kingdom and has more than 10 miles of belts for moving luggage. At the terminal's unveiling in March of 2008, Queen Elizabeth ll described the facility as an important of Britain’s future. Alas… the accolades didn't last long! After two decades in planning and 100 million hours in manpower, opening day didn't work out as planned. Endless lines and major baggage handling delays led to numerous flight cancellations stranding many irate passengers. Airport operators said the problems were triggered by glitches in the terminal's high-tech baggage-handling system.
With its massive automation features, T5 was planned to ease congestion at Heathrow and improve the flying experience for the 30 million passengers expected to pass through it annually. With 96 self-service check-in kiosks, more than 90fast check-in bag drops, 54 standard check-in desks, and miles of suitcase-moving belts estimated to be able to process 12,000 bags per hour, the facility's design seemed to support those goals.
However, within the first few hours of the terminal's operation, problems developed. Presumably understaffed, baggage workers were unable to clear incoming luggage fast enough. Arriving passengers waited more than an hour for their bags. Departing passengers tried in vain to check in for flights. Flights left with empty cargo holds. Sometime on day one, the airline checked in only those passengers with no luggage. And it didn't help that the moving belt system jammed at one point. Lesser problems also became apparent: a few broken escalators, some hand dryers that didn't work, a gate that wouldn't function at the new Underground station, and inexperienced ticket sellers who didn't know the fares between Heathrow and various stations on the Piccadilly line. By the end of the first full day of operation, Britain's Department of Transportation released a statement calling for British Airways and the airport operator BAA to get the problem fixed so customers would not be inconvenienced.
You might be tempted to think that all of this could have been prevented if British Airways had only tested the system. But thorough runs of all systems "from toilets to check in and seating" took place six months before opening, including four full-scale test runs using 16,000 volunteers.
Although T5’s debut was far from perfect, things have certainly changed. A recent customer satisfaction surveyshowed that 80 percent of passengers waited less than five minutes to check in. And those passengers are extremely satisfied with the terminal's lounges, catering, facilities, and ambience.
With the Summer Olympics in London, London’s Heathrow (and T5) grappled with a record passenger surge. As competitors, spectators, and media arrived. To cope with the deluge, some 1000 volunteers greeted arrivals, and special teams were assigned to deal with the athletes’’ oversize items like javelins, bikes, and other sports equipment. Despite the chaotic ‘birth’ of T5, it’s become a valued component of Heathrow and British Airways.
Please answer the following questions:
In: Operations Management
Kim Hotels is interested in developing a new hotel in Seoul. The company estimates that the hotel would require an initial investment of $25 million. Kim expects the hotel will produce positive cash flows of $4 million a year at the end of each of the next 20 years. The project's cost of capital is 14%.
$ million
In: Finance
Marilyn Helm Retailers is attempting to decide on a location for a new retail outlet. At the moment, the firm has three alternatives: stay where it is but enlarge the facility; locate along the main street in nearby
Newbury;
or locate in a new shopping mall in
Hyde Park.
The company has selected the four factors listed in the following table as the basis for evaluation and has assigned weights as shown:
|
Factor |
Factor Description |
Weight |
Present Location |
Newbury |
Hyde Park |
|
1 |
Average community income |
0.30 |
40 |
60 |
50 |
|
2 |
Community growth potential |
0.15 |
20 |
20 |
80 |
|
3 |
Availability of public transportation |
0.20 |
30 |
60 |
50 |
|
4 |
Labor availability, attitude, and cost |
0.35 |
80 |
50 |
50 |
a) Based on the given information, the best location for Marilyn Helm Retailers is to open the new retail outlet in
Hyde Park
, with a total weighted score of
54.5054.50.
(Enter your response rounded to two decimal places.)
b) A new subway station is scheduled to open across the street from the present location in about a month, so its third factor score should be raised to
40.
Then, the best location for Marilyn Helm Retailers is to open the new retail outlet in
Hyde Park
Hyde Park
Newbury
Present Location
, with a total weighted score of
nothing.
(Enter your response rounded to two decimal places.)
In: Economics
Kim Hotels is interested in developing a new hotel in Seoul. The company estimates that the hotel would require an initial investment of $20 million. Kim expects that the hotel will produce positive cash flows of $3 million a year at the end of each of the next 20 years. The project's cost of capital is 13%. While Kim expects the cash flows to be $3 million a year, it recognizes that the cash flows could, in fact, be much higher or lower, depending on whether the Korean government imposes a large hotel tax. One year from now, Kim will know whether the tax will be imposed. There is a 50% chance that the tax will be imposed, in which case the yearly cash flows will be only $2.2 million. At the same time, there is a 50% chance that the tax will not be imposed, in which case the yearly cash flows will be $3.8 million. Kim is deciding whether to proceed with the hotel today or to wait 1 year to find out whether the tax will be imposed. If Kim waits a year, the initial investment will remain at $20 million. Assume that all cash flows are discounted at 13%. Use the Black-Scholes model to estimate the value of the option. Assume the variance of the project's rate of return is 7.32% and the risk-free rate is 6%. Enter your answer in millions. For example, an answer of $1.2 million should be entered as 1.2, not 1,200,000. Do not round intermediate calculations. Round your answer to two decimal places.
In: Finance
Anil is planning a birthday party at an amusement park for his younger daughter and her friends. The manager of the park is considering whether to use uniform pricing or two-part-pricing. Anil's willingness to pay for rides for the party is p = 25 - 0.5Q, where p is the ticket price per ride and Q is the number of rides. The amusement park has a marginal cost of $5 for each additional ride. Its fixed cost for handling the party is $20.
a. Create a spreadsheet with quantity, price, consumer surplus, revenue, marginal revenue, cost, marginal cost, and profit as column headings. Fill in the spreadsheets cells for Q = 5 to Q = 50 in increments of 5 units. If the manager uses uniform pricing, what is the profit maximizing ticket price per ride, the number of rides, and the profit earned by the park?
b. Suppose that the manager uses two-part pricing: an entry fee for the entire party of young girls and price per ride. Calculate the profit-maximizing entry fee if the price per ride is the same as the monopoly price that you determined in part a. Calculate the total profit earned by the park.
c. Now suppose the manager uses two-part-pricing with a per-ride price equal to marginal cost and a profit-maximizing entry fee. Determine the price per ride, the number of rides, and the total profit (including profit from ticket sales and the entry fee) in this case.
In: Economics
Michael Wilson entered into a new business, hotel ownership, by buying a small 24 room hotel and café. The hotel is located in a remote area of Minnesota that is popular for tourists. Michael has hired you for advice.
Michael hired a young couple to run the hotel and café on a daily basis and plans to pay them a monthly salary. They will live for free in a small apartment adjacent to the office. The couple will be responsible for hiring and supervising five part-time personnel who will help with cleaning the rooms, cooking, waiting on customers in the café. The couple will maintain records of rooms rented, meals served, and payments received. They will also make weekly deposits.
Mike is concerned about his lack of control over the records and operations. Mike lives 5 hours away and will only be able to make periodic visits. Mike trusts the couple but wonders if it makes sense to place so much trust in employees.
Mike needs your help to identify possible ways that his motel and café could be defrauded and especially wants assistance to devise creative internal controls to help prevent or detect fraud.
Required
In: Accounting
|
Eric’s Demand |
Greg’s Demand |
Katie’s Demand |
|||||
|
Price per Acre |
Number of Acres |
Price per Acre |
Number of Acres |
Price per Acre |
Number of Acres |
||
|
$14 |
1 |
$11 |
1 |
$18 |
1 |
||
|
$13 |
2 |
$10 |
2 |
$17 |
2 |
||
|
$12 |
3 |
$9 |
3 |
$16 |
3 |
||
|
$11 |
4 |
$8 |
4 |
$15 |
4 |
||
|
$10 |
5 |
$7 |
5 |
$14 |
5 |
||
|
$9 |
6 |
$6 |
6 |
$13 |
6 |
||
|
$8 |
7 |
$5 |
7 |
$12 |
7 |
||
|
$7 |
8 |
$4 |
8 |
$11 |
8 |
||
b. Assume that the supply curve for the park is shown in the following chart. Graph this supply curve on your graph from part b. What is the socially optimal size of the park (in acres)?
|
Supply Curve |
|
|
Price per Acre |
Number of Acres |
|
$13 |
1 |
|
$17 |
2 |
|
$22 |
3 |
|
$27 |
4 |
|
$31 |
5 |
|
$35 |
6 |
|
$39 |
7 |
|
$44 |
8 |
In: Economics
Devos Inc. is building a hotel. It will have 4 kinds of rooms: suites where customers can smoke, suites that are non-smoking, budget rooms where the customers can smoke, and budget rooms that are non-smoking. When we build the hotel, we need to plan for how many rooms of each type we should have. The following are requirements for the hotel:
In: Operations Management
The accompanying table, MultiLinear Regression 5, provides data for tar, nicotine, and carbon monoxide (CO) contents in a certain brand of cigarette. All measurements are in milligrams (mg).
MultiLinear Regression 5
| Nicotine (Y) | Tar (X1) | CO (X2) |
| 0.4 | 5 | 3 |
| 0.9 | 9 | 11 |
| 0.7 | 12 | 18 |
| 0.8 | 13 | 18 |
| 1 | 16 | 18 |
| 0.6 | 6 | 6 |
| 0.9 | 15 | 18 |
| 1.1 | 15 | 15 |
| 0.8 | 13 | 18 |
| 1.2 | 17 | 16 |
Part a) Run the Multilinear Regression Analysis
in Excel with both predictor variables. What is the adjusted
R2 value to the nearest hundredth of a percent (i.e.
45.67%)?
Adjusted R2 =
Part b) What is the p-value for the full model?
Round answer to nearest thousandth of a percent (i.e.
0.123%).
Model p-value =
Part c) What are the p-values for the variable
coefficients? Round answers to the nearest hundredth of a percent
(i.e. 0.12%)
Tar p-value =
CO p-value =
Part d) Run simple linear regression for just
Nicotine & Tar and then for just Nicotine & CO. Write down
the R2
values and p-values for those two models.
| Model |
R2 value (hundredth percent, i.e. 12.34%) |
Model p-value (thousandth percent, i.e. 0.123%) |
| Nicotine & Tar | ||
| Nicotine & CO |
Part e) Using your analyses from parts a)
through d), determine the model that is the best fit for these
data. Use a significance level of 0.05, and consider each model’s
p-value, R2 value (or adjusted R2 value), the
p-values for each of the coefficients to determine the best fit
model. Use that model to estimate the Nicotine level in a cigarette
having 9 mg of tar and 9 mg of CO. Round answer to nearest
hundredth of a milligram (i.e. 0.81 mg).
Predicted Nicotine Level =
In: Statistics and Probability