Questions
Arrow Co. entered into a contract with a customer for $410,000. The contract is for the delivery of equipment and a three-year service maintenance contract for the equipment.

Arrow Co. entered into a contract with a customer for $410,000. The contract is for the delivery of equipment and a three-year service maintenance contract for the equipment. Arrow sells separately the equipment for a selling price of $400,000, and the maintenance contract for three years for $50,000. The equipment was delivered on 1 June 1 20X1. Arrow has a 30 November year-end.

 

Required:

Prepare the journal entries required to record the revenue related to this contract during the period 1 June 20X1 to 30 November 20X1.

In: Accounting

a. Give three characteristics of a perfectly competitive market. [3 marks] b. List and explain three...

a. Give three characteristics of a perfectly competitive market. [3 marks]

b. List and explain three types of barriers to entry that may be used in a monopoly. [3 marks]

c. For a monopolist, why is marginal revenue less than price for every level of output except the first? [4 marks]

d. Give the conditions which should exist for price discrimination? [3 marks]

e. Draw a diagram to show the long run equilibrium condition of the perfectly competitive firm [4 marks]   

In: Economics

Calculate the amount of revenue and gross profit (loss) to be recognized in each of the three years assuming the following costs incurred and costs to complete information



In 2021, the Westgate Construction Company entered into a contract to construct a road for Santa Clara County for $10,000,000. The road was completed in 2023. Information related to the contract is as follows:

  2021 2022 2023
Cost incurred during the year $ 2,610,000   $ 3,162,000   $ 2,230,800  
Estimated costs to complete as of year-end   6,390,000     2,028,000     0  
Billings during the year   2,100,000     3,672,000     4,228,000  
Cash collections during the year   1,850,000     3,000,000     5,150,000  
 


Westgate recognizes revenue over time according to percentage of completion.

5. Calculate the amount of revenue and gross profit (loss) to be recognized in each of the three years assuming the following costs incurred and costs to complete information. (Do not round intermediate calculations and round your final answers to the nearest whole dollar amount. Loss amounts should be indicated with a minus sign.)

  2021 2022 2023
Costs incurred during the year $ 2,610,000   $ 3,850,000   $ 4,050,000  
Estimated costs to complete as of year-end   6,390,000     4,200,000     0  
 

In: Accounting

Does the lifespan of a shark depend on the species of shark? It is known that...

Does the lifespan of a shark depend on the species of shark? It is known that the lifespan depends on whether the shark is begin held in captivity or in the wild. For consistency, a researcher used GPS to track several sharks in the wild from four different species. Using the data provided , perform the appropriate test to determine if there is evidence that the average lifespan is different for at least one species of shark. Be sure to include all the necessary steps.
  

* * the commas separate the numbers between each shark. if there is a ,, that means to skip to the third shark.
Subject: Tiger Shark, Great White, Blue Shark, Hammerhead

1: 26, 31, 9, 23

2: 22,32, 12, 24

3: 31, 21, 20, 31

4: 24, 32, 21, 29

5: 36, 21, 16, 28

6: 29, 28, 19, 32

7: 30, 27, 11, 25

8: 26, 30, 21,

9: 27, , 16,

10: 23, ,22,

11: 29

12: 26

In: Statistics and Probability

Exhaust gases from a manufacturing plant are being discharged through a 10-m-tall exhaust stack with outer...

Exhaust gases from a manufacturing plant are being discharged through a 10-m-tall exhaust stack with outer diameter of 1.2 m. The exhaust gases are discharged at a rate of 1.2 kg/s, while temperature drop between inlet and exit of the exhaust stack is 30°C, and the constant pressure specific heat of the exhaust gasses is 1600 J/kg·K. On a particular day, wind at 27°C is blowing across the exhaust stack with a velocity of 10 m/s, while the outer surface of the exhaust stack experiences radiation with the surrounding at 27°C. Solar radiation is incident on the exhaust stack outer surface at a rate of 1400 W/m2, and both the emissivity and solar absorptivity of the outer surface are 0.9. Determine the exhaust stack outer surface temperature in oC. The properties of air at 80°C are k = 0.02953 W/m?K, v = 2.097 × 10?5 m2/s, and Pr = 0.7154. (Round the final answer to two decimal places.)

In: Mechanical Engineering

A sales manager believes that a firms’ sales representatives should spend about 30 percent of their...

A sales manager believes that a firms’ sales representatives should spend about 30 percent of their working days traveling. If they are on the road for much less, new orders decline and the service and the news-gathering functions of the representatives are not adequately met. If they travel for much more than 30 percent of the time, expense accounts eat up any incremental profit. A study involving the 25 sales representatives of the firm for the last five months shows a sample mean traveling time of 27 percent with estimated population standard deviation of 5 percent. After a quick preliminary analysis of the data, the sales manager concludes that the discrepancy of 3 percent between the sample mean of 27 percent and the desired mean of 30 percent is within the margin of error and, therefore, it is negligible.   At the 90% level of confidence do you agree with the manager’s conclusion? Would your conclusion change at the 99% level of confidence? Show the necessary steps and interpret your results for each confidence interval.             ​

In: Statistics and Probability

The length of a species of fish is to be represented as a function of the...

The length of a species of fish is to be represented as a function of the age (measured in days) and water temperature (degrees Celsius). The fish are kept in tanks at 25, 27, 29 and 31 degrees Celsius. After birth, a test specimen is chosen at random every 14 days and its length measured.

Age

Temp

Length

1

14

25

620

2

28

25

1,315

3

41

25

2,120

4

55

25

2,600

5

69

25

3,110

6

83

25

3,535

7

97

25

3,935

8

111

25

4,465

9

125

25

4,530

10

139

25

4,570

11

153

25

4,600

12

14

27

625

13

28

27

1,215

14

41

27

2,110

15

55

27

2,805

16

69

27

3,255

17

83

27

4,015

18

97

27

4,315

19

111

27

4,495

20

125

27

4,535

21

139

27

4,600

22

153

27

4,600

23

14

29

590

24

28

29

1,305

25

41

29

2,140

26

55

29

2,890

27

69

29

3,920

28

83

29

3,920

29

97

29

4,515

30

111

29

4,520

31

125

29

4,525

32

139

29

4,565

33

153

29

4,566

34

14

31

590

35

28

31

1,205

36

41

31

1,915

37

55

31

2,140

38

69

31

2,710

39

83

31

3,020

40

97

31

3,030

41

111

31

3,040

42

125

31

3,180

43

139

31

3,257

44

153

31

3,214

A. Is there evidence of collinearity between the independent variables?

Yes, temperature and length are collinear in that their correlation is quite high

Yes, temperature and age of fish are collinear

No, temperature and age have no correlation

No, temperature and length have a low correlation

Yes, Age and length have a high correlation

None of the above

B. What proportion of the variation in the response variable is explained by the regression?

About 90 percent

About 81 percent

About 85 percent

None of the above

C. The F statistic indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish is an important explanatory variable in the model

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

D. The t-test of significance indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish contributes information in the prediction of length of fish

Length of fish contributes information in the prediction of age of fish

Length of fish contributes information in the prediction of temperature

E. The t-test of significance indicates that (same question but choose the correct answer):

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

F. Assuming you ran the regression correctly, plot the residuals (against Y-hat). The plot shows that:

The residuals appear to curve downwards, like a bowl facing down

The residuals appear to curve upwards, like a bowl facing up (V shape)

The residuals appear to be fanning out and are mostly spread out at the end

The residuals appear random

None of the above

G. REGRESSION. Which of the following types of transformation may be appropriate given the shape of the residual plot?

Logarithmic transformation in both Y and the X variables

Quadratic transformation to correct for curvilinear relationship

No transformation is necessary

G. REGRESSION. This type of dataset is best described as a ____ and a residual problem common with this type of data is ___

Cross-sectional data; heteroscedasticity

Time series data; heteroscedasticity

Cross-sectional data; residual correlation

Time series data; residual correlation

Cross-sectional data; multicollinearity

None of the above

In: Statistics and Probability

X Company estimates the following for its three products, A, B, and C, for 2018: A     ...

X Company estimates the following for its three products, A, B, and C, for 2018:

A      B      C     
Revenue $74,115 $28,501 $41,976
Total variable costs 38,002 20,280 19,668


Fixed costs in 2018 are expected to be $19,800. What is the expected weighted average contribution margin rate in 2018?

In: Accounting

case: After the mid of 2014, the oil prices started declining due to many factors, like...

case:
After the mid of 2014, the oil prices started declining due to many factors, like political issues in different countries, alternative source of oil industries started coming up, more producers started investing in this sectors all these creates, large quantities of oil. This decline in oil prices affects the demand and the supply side of the economy, ultimately affects the revenue of this industries. They have to go for different marketing structures in different counties to boost this industry.

Questions:
1-Briefly explain the suitable model of market structure for this industry.

2-Illustrate the relationship between average revenue and marginal revenue in relation to the marketing structure.

3-Explain the concept of Law of supply and its applicability in oil industries.

4-Relate law of demand in oil industries and how it can be used to explain the pricing of a product .

In: Economics

A perfectly competitive firm has the following fixed and variable costs in the short run. The market price for the firm’s product is $150.

A perfectly competitive firm has the following fixed and variable costs in the short run. The market price for the firm’s product is $150.

  1. Complete the table.

Output

FC

VC

TC

MC

TR

MR

Profit/Loss

0

$100

$0






1

100

100






2

100

180






3

100

300






4

100

440





   

5

100

600





   

6

100

780





   

  1. At what output rate does the firm maximize profit or minimize loss?

  2. What is the firm’s marginal revenue at each positive level of output? Its average revenue?

  3. What can you say about the relationship between marginal revenue and marginal cost for output rates below the profit –maximizing (or loss minimizing) rate? For output rates above the profit maximizing (or loss minimizing) rate?

In: Economics