Case: Airport Authority

The Airport Authority (AA) has been under considerable pressure from the Regional Government to increase capacity at Changow Airport. Originally built fifty years ago as a small regional airport serving a population of 250000, Changow's single runway is at full capacity for 20 hours of the day. The region's population has climbed to over 5 million and much of this growth in air travel is due to the rapid economic expansion of the region from industry and tourism.

The options facing the AA are not attractive. To increase capacity at Changow presents some serious engineering problems on the only available land to the north, over which a new runway must be built. The problems are due to local geology and some regular flooding from the Hankse River delta flowing nearby. A residential population of about 1 million lives within an area of 15 kilometers to the north of the airport and they believe that their lives would be affected severely by a major new runway.

Moreover, economic developments close to the airport crowd right up to the southern boundary, which is the only suitable means of access from Changow city for a wider road. The land close to the east and west boundaries contains mainly high income residential properties, mixed with isolated green sites, containing rare natural plants, exotic birds and other small wildlife. The State Government recently designated some of these areas as ‘National Heritage Sites’.

The other option is to build a completely new airport at Fongow, at a distance of forty kilometers from Changow, in agricultural land, presently farmed by thousands of small holders, whose families have worked the land there for many generations. New access roads would be needed, plus, perhaps a railway system which would require many bridges and tunnels, and the airport would be close to high wooded hills. There are doubts about the operational feasibility of building an airport so far from the regional capital.

The local political representatives, all members of the governing coalition, favor expansion of Changow airport on the grounds of ‘national economic development’, ‘social progress’ and national pride. So does local business, which claims that the current airport is holding back economic expansion in the region. Airport passengers, business and tourist alike, are plagued by long delays to flights and missed connections, and traffic jams during access and egress/way out along the airport's single and inadequate southern road to Changow city.

Public disquiet/worry about proposals to expand Changow airport have surfaced and are attracting media interest. The main opposition comes from local residents around the airport, though they do not yet form a majority. On the southern boundary, people living along the main road to the airport oppose widening the road because this would mean demolishing many thousands of homes. People living just behind these houses oppose widening because this brings the new road right up to their properties. A ‘Homes Before Roads’ campaign is underway.

People to the north oppose a new airport runway because of the impact during construction and afterwards on the residents who would have to move to make way for it, and on those left behind, who would be near aircraft taking off and landing. A ‘Hands off the Hankse’ campaign has been formed.

1. Summarize the main finding(s) of the case.

GTA Construction Corporation constructed two buildings near the San Andreas fault line. The probability that either of these buildings will experience an earthquake is 4.6 percent. However, if one building experiences an earthquake, the probability that the second building will experience an earthquake is 57 percent. What is the probability (in percent) that both buildings will experience earthquake damage?

IMB Computing creates motherboards for cellphones at their campuses in Seattle and San Diego. The company is worried about computer hackers and hired a consultant to evaluate their risk. The consultant estimated that the San Diego campus has a 12.1 percent chance of being hacked. The consultant also noted that the Seattle location has a 24.4 percent chance of digital hacking. IMB would asks the consultant, what is the probability (in percent) that both campuses will suffer hacking related crime in any given year?

Hishiba Company assembles hard drives and has plants in both the South and the North, spaced about 3,000 miles apart and connected by light rail. Hishiba is worried about local rain causing flooding at their plants. The probability that in any given year a flood will damage the North plant 5.1 percent. The probability that in any given year a flood will damage the South plant is 13 percent. What is the probability (in percent) that at least one of the plants will be damaged by flood in any given year?

Fairfield Homes is developing two parcels near Pigeon Forge, Tennessee. In order to test different advertising approaches, it uses different media to reach potential buyers. The mean annual family income for 19 people making inquiries at the first development is $160,000, with a standard deviation of $37,000. A corresponding sample of 27 people at the second development had a mean of $181,000, with a standard deviation of $32,000. Assume the population standard deviations are the same. At the 0.01 significance level, can Fairfield conclude that the population means are different?

1. State the decision rule for 0.01 significance level: H₀: μ₁ = μ₂; H₁:μ₁ ≠ μ₂. (Negative values should be indicated by a minus sign.Round your answers to 2 decimal places.)

2. Compute the value of the test statistic. (Negative value should be indicated by a minus sign. Round your answer to 2 decimal places.)

3. At the 0.01 significance level, can Fairfield conclude that the population means are different?  

  Reject/Do no reject H0. Fairfield can/cannot conclude that the population means are different

Thirty-four small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 42.5 cases per year. (a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.) lower limit 126.9 Incorrect: Your answer is incorrect. upper limit 150.1 Incorrect: Your answer is incorrect. margin of error 11.6 Incorrect: Your answer is incorrect. (b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.) lower limit 124.6 Incorrect: Your answer is incorrect. upper limit 152.4 Incorrect: Your answer is incorrect. margin of error 13.9 Incorrect: Your answer is incorrect. (c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.) lower limit 120.3 Incorrect: Your answer is incorrect. upper limit 156.7 Incorrect: Your answer is incorrect. margin of error 18.2 Incorrect: Your answer is incorrect.

Thirty-four small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 41.9 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

lower limit

upper limit

margin of error

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

lower limit

upper limit

margin of error

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

lower limit

upper limit

margin of error

(d) Compare the margins of error for parts (a) through (c). As the confidence levels increase, do the margins of error increase? As the confidence level increases, the margin of error increases. As the confidence level increases, the margin of error decreases. As the confidence level increases, the margin of error remains the same.

(e) Compare the lengths of the confidence intervals for parts (a) through (c). As the confidence levels increase, do the confidence intervals increase in length?

As the confidence level increases, the confidence interval increases in length.

As the confidence level increases, the confidence interval remains the same length.

As the confidence level increases, the confidence interval decreases in length.

Thirty-two small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 40.5 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

Thirty-two small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 43.1 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

Question 1:-

A) Develop a feasible design : draw the measurement system block diagram and describe the function of all needed subsystems

Please drow the block diagram on computer, if not, write it clearly please.

Shelly Herzog opens a research service near a college campus. She names the corporation Herzog Researchers, Inc. During the first month of operations, July 20X3, the business engages in the following transactions:

a. Herzog Researchers, Inc., issues its common stock to Shelly Herzog, who invests $25,000 to open the business.

b. The company purchases on account office supplies costing $350.

c. Herzog Researchers pays cash of $20,000 to acquire a lot next to the campus. The company intends to use the land as a building site for a business office.

d. Herzog Researchers performs research for clients and receives cash of $1,900.

e. Herzog Researchers pays $100 on the account payable it created in transaction b.

f. Herzog pays $2,000 of personal funds for a vacation.

g. Herzog Researchers pays cash expenses for office rent ($400) and utilities ($100).

h. The business sells a small parcel of the land for its cost of $5,000.

i. The business declares and pays a cash dividend of $1,200.

Required

1. Analyze the preceding transactions in terms of their effects on the accounting equation of Herzog Researchers, Inc. Use Exhibit 2-1, Panel B as a guide.

2. Prepare the income statement, statement of retained earnings, and balance sheet of Herzog Researchers, Inc., after recording the transactions. Draw arrows linking the statements.

Thirty-two small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that ? is known to be 41.3 cases per year.

(a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(b) Find a 95% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)

(c) Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)