Questions
How much load can safely be carried by a 20 m long, 0.3 x 0.3 m...

  1. How much load can safely be carried by a 20 m long, 0.3 x 0.3 m square concrete pile driven in very stiff clay. Address the safe load issue but not the settlement issue. Soil properties: su = 100 kPa, qc = 5 MPa, fc = 70 kPa, pL = 500 kPa, E0 = 7.5 MPa, Cc = 0.3, cv = 10-4 cm2/s, γ = 18 kN/m3. If you need additional properties assume reasonable values.

In: Civil Engineering

(a) Consider three positive integers, x1, x2, x3, which satisfy the inequality below: x1 +x2 +x3...

(a) Consider three positive integers, x1, x2, x3, which satisfy the inequality below: x1 +x2 +x3 =17. (1) Let’s assume each element in the sample space (consisting of solution vectors (x1, x2, x3) satisfying the above conditions) is equally likely to occur. For example, we have equal chances to have (x1, x2, x3) = (1, 1, 15) or (x1, x2, x3) = (1, 2, 14). What is the probability the events x1 +x2 ≤8occurs,i.e.,P(x1 +x2 ≤8|x1 +x2 +x3 =17andx1,x2,x3 ∈Z+)(Z+ isthe set containing all the possible positive integers)? (5%)

(b) There are unlimited fake coins and only one real coin. The fake coins and the real coin are almost the same and can only be detected by a special machine. At the very beginning, there are two coins in a bag, one fake and the other real (but we don’t know which one is real). We continue the following process till the real coin is found: At the each step, we randomly sample one coin from the bag and examine whether it is fake. If yes, we put the coin back to the bag, additionally put in another fake coin, and randomly draw a coin for examination. The sampling process won’t stop until we find the real coin. Assuming that each coin (either fake or real) has equal chances to be selected, what is the probability that we sample 9 times but still cannot find the real coin (and hence has to continue the sampling process)? (5%)

(c) From a random sports news, the probability of observing the word “ball” and “player” is 0.8 and 0.7, respectively. For a non-sports news, the probability to observe “ball” is 0.1, so does that to observe “player”. Let’s assume that in any article, the appearance of any two words (including “ball” and “player”) are independent with each other. Also, the probability of sports news’ occurrences is 0.2. Given a news report x containing both “ball” and “player”, what is the probability that x is a sports news. (10%)

In: Statistics and Probability

The hurricane in the Bahamas caused a small decrease in the supply of hotel rooms but...

The hurricane in the Bahamas caused a small decrease in the supply of hotel rooms but a very large decrease in demand for hotel rooms as tourists cancel their planned trips. The result of these two effects on the market for hotel rooms is:

Group of answer choices

an increase in the equilibrium price and a decrease in the equilibrium quantity

a decrease in the equilibrium price and a decrease in the equilibrium quantity

an unknown change in the equilibrium price and a decrease in the equilibrium quantity

a decrease in the equilibrium price and an unknown change in the equilibrium quantity

In: Economics

IN JAVA Write a program that calculates the occupancy rate for each floor of a hotel....

IN JAVA

Write a program that calculates the occupancy rate for each floor of a hotel. (Use a sentinel value and please point out the sentinel in bold.) The program should start by asking for the number of floors in the hotel. A loop should then iterate once for each floor. During each iteration, the loop should ask the user for the number of rooms on the floor and the number of them that are occupied. After all the iterations, the program should display the number of rooms the hotel has, the number of them that are occupied, the number that are vacant, and the occupancy rate for the hotel. Input Validation: Do not accept a value less than 1 for the number of floors. Do not accept a number less than 10 for the number of rooms on a floor.

In: Computer Science

Exercise 5.4 Refer back to exercise 2.2. Suppose that you fit the model to 20 data...

Exercise 5.4
Refer back to exercise 2.2. Suppose that you fit the model to 20 data points and found that your F – value for testing the model is useful is 49.75.

Exercise 2.2
A hotel manager is concerned about hotel room rates for a large chain of hotels. The variables to be used in this research is defined as follows:
Y = the daily rate of a room
X1 = the population of the city
X2 = the rating of the hotel (1 star to 5 stars)
X3 = the number of rooms in the hotel
X4 = the number of hotels in the city

Answer the following:

A.) Now conduct the F-test for model utility.

B.) In exercise 5.4, what is the conclusion?

a.

the model is not useful

b.

the model is useful

c.

the results are inconclusive

In: Math

a. In the hotel industry, package rate refers to a...A.room sold using a fade...

a. In the hotel industry, package rate refers to a...


A.room sold using a fade rate.

B.rooms that is sold at full or "rack" rate.

C.group of hotel products and service sold for one price.

D.rooms rate discount offered to members of a consortium.

b. Which is the best description of an individual hotel's competitive set?


A.Hotels located in close proximity to the individual hotel

B.Hotels that offer the same rate as the individual hotel

C.Hotels with the same brand affiliation as the individual hotel

D.Hotels with which the individual hotel directly competes

c. In the short run, when room supply is held constant...


A.changes in room demand will not affect the selling prices of rooms.

B.a decrease in demand for rooms typically leads to a decreased selling price.

C.a decrease in demand for rooms typically leads to an increase in selling price.

D.an increase in demand for rooms typically leads to a decreased selling price.

d. GOPPAR is best defined as hotel's...


A.revenue less management controllable costs per available room.

B.ADR x RevPAR x Occupancy %

C.revenue less management controllable costs per sold room.

D.ADR x RevPAR

In: Operations Management

Case Study - Aussie Airlines and the Global Pandemic Your Role Your firm, DUA, has been...

Case Study - Aussie Airlines and the Global Pandemic

Your Role

  1. Your firm, DUA, has been the auditor of Aussie Airlines for the past three years.

  2. You are the audit team manager and you are about to commence the risk assessment phase, as well as the risk response work plan for the audit of AA’s financial statements for the year ending 30th June 2020.

Context

  1. Aussie Airlines (AA) is a large listed Australian airline and has been operating for more than fifty years.

  2. In recent years, under pressure to improve profitability as fuel costs rose, the airline successfully undertook a comprehensive cost cutting and business efficiency drive, which returned it to profit three years ago. According to the CEO and Chairperson, Andrew Norris, “the operations of AA are now as lean as they could be; we have squeezed the fruit dry.”

  3. In March 2020, the World Health Organisation declared a pandemic, people and governments have responded, and the volume of global business-related and leisure-related air travel has fallen by 95%.

  4. It is not known how long the pandemic will last, how long restrictions on air travel will last—most guesses range from two to twelve months, a small minority fear it will be worse—and the Australian government has not yet announced how it’s economic response to the pandemic will specifically help the airline industry.

  5. AA has ‘temporarily’ laid off 90% of its workforce, including cabin staff, pilots, and 95% of its airport ground crew. There are murmurs about a class action by employees if they do not receive adequate payments while they are laid off. Some fear the change may be permanent.

  6. The company is not taking bookings from customers; the AA website says “for the foreseeable future”.

  7. The CEO has told the press that while the current situation represents “an existential crisis”, he is absolutely confident that AA will get through it and come out stronger the other side.

  8. The Chief Financial Officer, Clara Major, stopped you in the corridor to say hello and offered you these words: “Look, everything might seem dire but we have it in hand. We will be here this time next year, so keep that in mind.”

  9. As expected, you have been offered access to any records and to people inside and outside the AA organisation that you feel will be necessary to complete your risk assessment and interim work.

  10. You are also confident that AA’s internal controls remain very strong, although you do not know if or how they have been changed/enhanced to respond to the effects of the global pandemic on AA.

Forecast Financial Statements

On your second day at AA’s head office, you have been given the forecast financial statements for the full year to 30 June 2020, as well as the previous two years’ audited results.

Aussie Airlines: Consolidated Income Statement (Selected) Year Ended 30th June
Currency AUD Millions (figures are rounded)

Forecast 2020

Actual 2019

Actual 2018

Revenue

12.0

18.0

18.0

Expenditure

Wages

3.3

5.0

5.0

Aircraft Costs

4.0

4.0

3.7

Fuel

2.5

3.0

3.0

Depreciation

1.6

1.4

1.4

Other

2.5

3.1

3.4

PBIT

(1.9)

1.5

1.5

Finance Costs

(0.2)

(0.2)

(0.2)

Income Tax

0.0

(0.4)

(0.4)

Statutory Profit for the Year

(2.1)

0.9

0.9

Aussie Airlines: Consolidated Balance Sheet (Selected) As at 30th June
Currency AUD Millions (figures are rounded)

Forecast 2020

Actual 2019

Actual 2018

Current Assets

Cash & Cash Equivalents

0.5

1.8

1.5

Receivables

2.0

1.5

1.0

Other

0.7

1.0

1.0

Total Current Assets

3.2

4.3

3.5

Non-Current Assets

Property, Plant & Equipment

12.3

13.0

13.0

Intangible Assets

0.7

2.0

2.1

Other

1.0

0.0

0.1

Total Non-Current Assets

14.0

15.1

15.2

Total Assets

17.2

19.4

18.7

Current Liabilities

Payables

4.0

1.8

1.7

Revenue Received in Advance

1.0

5.0

4.5

Interest Bearing Liabilities

2.0

0.6

0.4

Provisions

0.9

1.0

1.0

Other

Total Current Liabilities

7.9

8.6

7.6

Non-Current Liabilities

Forecast 2020

Actual 2019

Actual 2018

Revenue Received in Advance

0.2

1.5

1.5

Interest Bearing Liabilities

6.5

4.6

4.3

Provisions

0.4

0.4

0.4

Deferred Tax Liabilities

0.8

0.8

0.9

Other

0.1

0.1

0.0

Total Non-Current Liabilities

8.0

7.4

7.1

Total Liabilities

15.9

15.9

14.7

Net Assets

1.3

3.5

4.0

Equity

Issued Capital

1.9

1.9

2.5

Treasury Shares

(0.2)

(0.2)

(0.1)

Reserves

0.2

0.2

0.5

Retained Earnings

(0.5)

1.6

1.1

Total Equity

1.3

3.5

4.0

Notes:

You have received additional information from AA’s Chief Financial Officer and from your initial review of AA Board minutes:

  1. Not all 2020 forecast Income Statements line items and Balance Sheet balances have been finalised at this point, though they are best guesses.

  2. Intangible Assets constitute goodwill relating to an international airline business AA acquired five years ago. This business mainly services South East Asia, China, and Polynesia destinations.

  3. Property, Plant & Equipment consists primarily of aircraft, aircraft engines, and aircraft parts.

  4. Revenue Received in Advance relates to customers’ prepaid flights.

  5. Aircraft are leased from third parties. A reduction in monthly payments and a restructuring of the lease terms are under negotiation but, so far, nothing has been agreed with the aircraft makers/lessors.

  6. AA is currently negotiating with its bank to receive a grace period for repayment of short term and long-term debt as the company is currently in breach of its debt covenants per the loan agreement. If no deal is reached, this debt becomes due and payable on August 31st 2020.

  7. AA is seeking a financial bail-out package from the government of $7million to fund its ongoing operating costs for 12 months while its fleet of aircraft is grounded. The Federal government has made positive noises about the request but has not yet committed to support the request and has told AA that it will take at least two months to reach a decision.

  8. Under the current conditions, the CFO’s papers to the AA Board estimate that cash coming in from operations will, on average, be $0.5million per month while unavoidable operating costs are estimated to be $0.8million per month.

  9. AA has an unused line of credit of $2.5million provided by its banking syndicate. It can access this money to fund its cash requirements. Currently, there are no other sources of cash beyond this line of credit.

QUESTION

  1. Assuming that you have completed the work in previous questions and determined that AA is a going concern, select one material account from AA’s Balance Sheet and one material account from the Income Statement and prepare a brief plan for auditing each account. Give particular attention to the following:

    1. An assessment of the audit risk for the account, given the information in this case study and your assumptions.

    2. The relevant/significant audit assertions for this account.

    3. Name two controls that you would expect management to implement for this account. How would you test these controls.

    4. Describe two substantive testing procedures that you would perform in relation to this account to address the relevant/significant assertions.

NOTE: please refer to previous questions asked and answer them first please

In: Accounting

Economics is everywhere – even in South Park. If you’re not familiar, South Park is an...

Economics is everywhere – even in South Park. If you’re not familiar, South Park is an animated sitcom for adults featuring the adventures of four grade-school boys in the town of South Park, Colorado. In season 13, episode 14, the boys went to Pi Pi’s Water Park. Everybody is peeing in the pool and the pee concentration ends up being so high that it causes a flood that destroys the place. You can watch a clip of the episode here:

Tragedy of the Commons on South Park - Peeing in the Pool  

While this is a silly example of tragedy of the commons, there are far more serious examples.

"More widespread wearing of face masks could prevent tens of thousands of deaths by COVID-19, epidemiologists and mathematicians project.

A model from the University of Washington's Institute for Health Metrics and Evaluation shows that near-universal wearing of cloth or homemade masks could prevent between 17,742 and 28,030 deaths across the US before Oct. 1.

The group, which advises the White House as well as state and local governments, is submitting the model for peer review, says Theo Vos., Professor of Health Metrics Sciences at IHME.

Another projection developed by researchers at Arizona State University in April showed that 24–65% of projected deaths could be prevented in Washington state in April and May if 80% of people wore cloth or homemade masks in public.

These projections shed light on the promises face masks might hold as COVID-19 cases surge in some states and more local authorities mandate the wearing of face masks."

There are several people against face mask wearing despite the recommendations from scientists and healthcare officials. See an example below:

Viewers furious with Walmart shoppers not wearing face masks

There are several options to solving or preventing the tragedy of the commons. Think about what the scientists are saying about how "Face Masks" can reduce the spread of COVID-19 and then answer the following questions:

  1. Does failure to wear a face mask present a tragedy of the commons? Why or Why not?
  2. What are some of the issues/concerns/problems with each of the possible “solutions” to the tragedy of the commons (South Park and the face mask issue)? Do you know of any examples where one of these solutions has been successfully implemented?
  3. Can you think of any other examples (silly or serious) of tragedy of the commons?
  4. What other economic concepts are presented in the South Park clip and/or the paragraph about face mask?
  5. How are externalities related to the concept of the tragedy of the commons? Are the solutions to each similar or different? How?

In: Economics

Human Development Data Set: Questions are posted in next post. C1-T INTERNET GDP CO2 CELLULAR FERTILITY...

Human Development Data Set: Questions are posted in next post.

C1-T INTERNET GDP CO2 CELLULAR FERTILITY LITERACY
Algeria 0.65 6.09 3 0.3 2.8 58.3
Argentina 10.08 11.32 3.8 19.3 2.4 96.9
Australia 37.14 25.37 18.2 57.4 1.7 100
Austria 38.7 26.73 7.6 81.7 1.3 100
Belgium 31.04 25.52 10.2 74.7 1.7 100
Brazil 4.66 7.36 1.8 16.7 2.2 87.2
Canada 46.66 27.13 14.4 36.2 1.5 100
Chile 20.14 9.19 4.2 34.2 2.4 95.7
China 2.57 4.02 2.3 11 1.8 78.7
Denmark 42.95 29 10.4 74 1.8 100
Egypt 0.93 3.52 2 4.3 3.3 44.8
Finland 43.03 25.64 11.3 80.4 1.7 100
France 26.38 23.99 6.1 60.5 1.9 100
Germany 37.36 25.35 9.7 68.2 1.4 100
Greece 13.21 17.44 8.2 75.1 1.3 96.1
India 0.68 2.84 1.1 0.6 3 46.4
Iran 1.56 6 4.8 3.2 2.3 70.2
Ireland 23.31 32.41 12.3 77.4 1.9 100
Israel 27.66 19.79 10 90.7 2.7 93.1
Japan 38.42 25.13 9.1 58.8 1.3 100
Malaysia 27.31 8.95 5.6 31.4 2.9 84
Mexico 3.62 8.43 1.4 21.7 2.5 89.5
Netherlands 49.05 27.19 8.5 76.7 1.7 100
New Zealand 46.12 23.45 8.1 59.9 2 100
Nigeria 0.1 0.85 0.3 0.3 5.4 57.7
Norway 46.38 29.62 8.7 81.5 1.8 100
Pakistan 0.34 1.89 0.7 0.6 5.1 28.8
Philippines 2.56 3.84 0.5 15 3.2 95
Russia 2.93 7.1 10.6 5.3 1.1 99.4
Saudi Arabia 1.34 13.33 11.7 11.3 4.5 68.2
South Africa 6.49 11.29 7.9 24.2 2.6 85
Spain 18.27 20.15 6.8 73.4 1.2 96.9
Sweden 51.63 24.18 5.3 79 1.6 100
Switzerland 30.7 28.1 5.7 72.8 1.4 100
Turkey 6.04 5.89 4.3 29.5 2.4 77.2
United Kingdom 32.96 24.16 9.2 77 1.6 100
United States 50.15 42.45 19.7 45.1 2.1 100
Vietnam 1.24 2.07 0.6 1.5 2.3 90.9
Yemen 0.09 0.79 1.1 0.8 7 26.9

You are provided with data for several nations from the Human Development Report, 2017.

  1. Compute summary statistics (mean, median, mode, standard deviation etc.) for the variables of GDP (GDP per capita in thousands of dollars) and Internet use.

Provide descriptions of the distributions based on the summary statistics. Address skewness in your description.

  1. Generate a scatterplot with clearly labeled axes CO2 and GDP. CO2 will be on the Y axis. Comment on what you see.
  2. Compute the correlation between CO2 and GDP and interpret it. Refer to both the strength and direction of the correlation in your interpretation.
  3. Using the variable Internet Use, construct the 1st, 2nd, and 3rd standard deviation from the mean intervals and calculate the percentages for each. Then make a short interpretation on whether they match the percentages in the Empirical Rule.

In: Statistics and Probability

A company produces six products in the following manner. Each unit of raw material purchased yields...

A company produces six products in the following manner. Each unit of raw material purchased yields 4 units of product 1, 2 units of product 2, and 1 unit of product 3. Up to 1200 units of product 1 can be sold and up to 300 units of product 2 can be sold. Demand for products 3 and 4 is unlimited. Each unit of product 1 produced from raw material can be sold or processed further. Each unit of product 1 that is processed further yields 1 unit of product 4. Each unit of product 2 can be sold or processed further. Each unit of product 2 that is processed further yields 0.8 unit of product 5 and 0.3 unit of product 6.

For products 3 through 6, the production cost is additional to the costs already incurred.

Up to 1000 units of product 5 can be sold, and up to 800 units of product 6 can be sold. Up to 3000 units of raw material can be purchased at $6 per unit. Leftover units of products 5 and 6 must be destroyed. It costs $4 to destroy each leftover unit of product 5 and $3 to destroy each leftover unit of product 6. The selling price and production cost per unit of each product is provided in the table. The cost of raw material is irrelevant to solving this problem and is ignored in the costs provided.

Determine a profit-maximizing production schedule.

MICROSOFT EXCEL SOLVER SOLUTION PLEASE!!!!!!! The other solutions listed for this problem are incorrect.

Product Units produced per unit of raw material used Units produced per unit of Product 1 processed further Units produced per unit of Product 2 processed further Max Dem Selling price Production cost
1 4 1200 7 4
2 2 300 6 4
3 1 No limit 4 2
4 1 No limit 3 1
5 0.8 1000 20 5
6 0.3 800 35 5
3000 Units of raw material available to purchase
$6 Cost per unit of raw material
$4 Cost to destroy excess Product 5
$3 Cost to destroy excess Product 6

In: Statistics and Probability