1-800-Got Junk? is a junk removal franchise business headquartered in Vancouver, British Columbia, Canada. In late 2003, Got Junk entered a franchise agreement with Millenium Asset Recovery Inc. The agreement stated that the franchisee, Millennium, would pay a percentage of its gross revenue to Got Junk on every junk removal job it performs. In 2007, Got Junk terminated Millennium’s franchise on the grounds that Millennium deliberately had not reported certain jobs and the gross revenue derived from such jobs. Was Got Junk right in terminating the agreement? Why or why not? [1-800-Got Junk? LLC v. Superior Court (Millennium Asset Recovery, Inc.), Cal.App.4th, Second Dist., Div. Three. (2010).]
In: Operations Management
Compute the correlations for the “Hot Growth Companies” in Date 1 for each pair of variables rank, P/E ratio, and return, using the first 50 and second 50 values separately. Compare these results with those given in Example 2.4. Explain the differences.
Date 1
| Rank | Return on Capital | P-E Ratio |
| 1 | 51.5 | 37 |
| 2 | 68.5 | 53 |
| 3 | 35.3 | 71 |
| 4 | 28.7 | 21 |
| 5 | 28.2 | 26 |
| 6 | 29.8 | 14 |
| 7 | 24.4 | 36 |
| 8 | 27.4 | 38 |
| 9 | 32.3 | 24 |
| 10 | 35.1 | 37 |
| 11 | 32.5 | 26 |
| 12 | 15.9 | 36 |
| 13 | 18.5 | 47 |
| 14 | 15 | 22 |
| 15 | 22.3 | 13 |
| 16 | 17.2 | 26 |
| 17 | 21.2 | 24 |
| 18 | 13.5 | 19 |
| 19 | 30.3 | 48 |
| 20 | 21.2 | 27 |
| 21 | 14.1 | 50 |
| 22 | 26.7 | 55 |
| 23 | 16.1 | 23 |
| 24 | 20.3 | 33 |
| 25 | 21.2 | 15 |
| 26 | 18.3 | 14 |
| 27 | 30.6 | 22 |
| 28 | 16.6 | 34 |
| 29 | 15.7 | 7 |
| 30 | 13.4 | 42 |
| 31 | 28.2 | 18 |
| 32 | 11.2 | 45 |
| 33 | 17.3 | 26 |
| 34 | 19.9 | 27 |
| 35 | 19.6 | 17 |
| 36 | 16.7 | 11 |
| 37 | 13.1 | 41 |
| 38 | 17.8 | 43 |
| 39 | 17.7 | 28 |
| 40 | 14.5 | 52 |
| 41 | 15.2 | 22 |
| 42 | 8.9 | |
| 43 | 14.7 | 31 |
| 44 | 12 | 19 |
| 45 | 10.9 | 19 |
| 46 | 14.8 | 22 |
| 47 | 15.9 | 11 |
| 48 | 12.9 | 38 |
| 49 | 21.8 | 21 |
| 50 | 12.1 | 30 |
| 51 | 8.5 | 25 |
| 52 | 18.6 | 25 |
| 53 | 12.1 | 22 |
| 54 | 15.1 | 21 |
| 55 | 17.9 | 15 |
| 56 | 9 | 25 |
| 57 | 11 | 29 |
| 58 | 18.1 | 24 |
| 59 | 6.3 | 30 |
| 60 | 15.1 | 23 |
| 61 | 15.9 | 22 |
| 62 | 15.8 | 19 |
| 63 | 18.9 | 23 |
| 64 | 12.7 | 18 |
| 65 | 15.1 | 28 |
| 66 | 8.7 | 29 |
| 67 | 15.1 | 25 |
| 68 | 15.5 | 14 |
| 69 | 12.6 | 17 |
| 70 | 7.6 | 24 |
| 71 | 7.5 | 43 |
| 72 | 13.4 | 28 |
| 73 | 7.4 | 14 |
| 74 | 15.6 | 26 |
| 75 | 11.5 | 25 |
| 76 | 10 | 31 |
| 77 | 8.6 | 15 |
| 78 | 14 | 31 |
| 79 | 12.9 | 20 |
| 80 | 10.4 | 16 |
| 81 | 12.2 | 19 |
| 82 | 9.3 | 32 |
| 83 | 12.6 | 21 |
| 84 | 12.5 | 26 |
| 85 | 13 | 39 |
| 86 | 15.8 | 32 |
| 87 | 14.4 | 28 |
| 88 | 10.6 | 16 |
| 89 | 12.2 | 31 |
| 90 | 11.4 | 13 |
| 91 | 11.7 | 6 |
| 92 | 12.3 | 37 |
| 93 | 12.3 | 29 |
| 94 | 14.5 | 20 |
| 95 | 13 | 28 |
| 96 | 14 | 23 |
| 97 | 10.6 | 30 |
| 98 | 11 | 21 |
| 99 | 10.4 | 31 |
| 100 | 11.1 | 29 |
Example 2.4
| Rank | Return on Capital | P-E Ratio | |||||
| 1 | 51.5 | 37 | Rank | Return on Capital | P-E Ratio | ||
| 2 | 68.5 | 53 | Rank | 1 | |||
| 3 | 35.3 | 71 | Return on Capital | -0.647 | 1 | ||
| 4 | 28.7 | 21 | P-E Ratio | -0.267 | 0.306 | 1 | |
| 5 | 28.2 | 26 | |||||
| 6 | 29.8 | 14 | |||||
| 7 | 24.4 | 36 | This file shows the Excel verison of the example 2.4 in the book. | ||||
| 8 | 27.4 | 38 | |||||
| 9 | 32.3 | 24 | |||||
| 10 | 35.1 | 37 | |||||
| 11 | 32.5 | 26 | |||||
| 12 | 15.9 | 36 | |||||
| 13 | 18.5 | 47 | |||||
| 14 | 15 | 22 | |||||
| 15 | 22.3 | 13 | |||||
| 16 | 17.2 | 26 | |||||
| 17 | 21.2 | 24 | |||||
| 18 | 13.5 | 19 | |||||
| 19 | 30.3 | 48 | |||||
| 20 | 21.2 | 27 | |||||
| 21 | 14.1 | 50 | |||||
| 22 | 26.7 | 55 | |||||
| 23 | 16.1 | 23 | |||||
| 24 | 20.3 | 33 | |||||
| 25 | 21.2 | 15 | |||||
| 26 | 18.3 | 14 | |||||
| 27 | 30.6 | 22 | |||||
| 28 | 16.6 | 34 | |||||
| 29 | 15.7 | 7 | |||||
| 30 | 13.4 | 42 | |||||
| 31 | 28.2 | 18 | |||||
| 32 | 11.2 | 45 | |||||
| 33 | 17.3 | 26 | |||||
| 34 | 19.9 | 27 | |||||
| 35 | 19.6 | 17 | |||||
| 36 | 16.7 | 11 | |||||
| 37 | 13.1 | 41 | |||||
| 38 | 17.8 | 43 | |||||
| 39 | 17.7 | 28 | |||||
| 40 | 14.5 | 52 | |||||
| 41 | 15.2 | 22 | |||||
| 42 | 8.9 | ||||||
| 43 | 14.7 | 31 | |||||
| 44 | 12 | 19 | |||||
| 45 | 10.9 | 19 | |||||
| 46 | 14.8 | 22 | |||||
| 47 | 15.9 | 11 | |||||
| 48 | 12.9 | 38 | |||||
| 49 | 21.8 | 21 | |||||
| 50 | 12.1 | 30 | |||||
| 51 | 8.5 | 25 | |||||
| 52 | 18.6 | 25 | |||||
| 53 | 12.1 | 22 | |||||
| 54 | 15.1 | 21 | |||||
| 55 | 17.9 | 15 | |||||
| 56 | 9 | 25 | |||||
| 57 | 11 | 29 | |||||
| 58 | 18.1 | 24 | |||||
| 59 | 6.3 | 30 | |||||
| 60 | 15.1 | 23 | |||||
| 61 | 15.9 | 22 | |||||
| 62 | 15.8 | 19 | |||||
| 63 | 18.9 | 23 | |||||
| 64 | 12.7 | 18 | |||||
| 65 | 15.1 | 28 | |||||
| 66 | 8.7 | 29 | |||||
| 67 | 15.1 | 25 | |||||
| 68 | 15.5 | 14 | |||||
| 69 | 12.6 | 17 | |||||
| 70 | 7.6 | 24 | |||||
| 71 | 7.5 | 43 | |||||
| 72 | 13.4 | 28 | |||||
| 73 | 7.4 | 14 | |||||
| 74 | 15.6 | 26 | |||||
| 75 | 11.5 | 25 | |||||
| 76 | 10 | 31 | |||||
| 77 | 8.6 | 15 | |||||
| 78 | 14 | 31 | |||||
| 79 | 12.9 | 20 | |||||
| 80 | 10.4 | 16 | |||||
| 81 | 12.2 | 19 | |||||
| 82 | 9.3 | 32 | |||||
| 83 | 12.6 | 21 | |||||
| 84 | 12.5 | 26 | |||||
| 85 | 13 | 39 | |||||
| 86 | 15.8 | 32 | |||||
| 87 | 14.4 | 28 | |||||
| 88 | 10.6 | 16 | |||||
| 89 | 12.2 | 31 | |||||
| 90 | 11.4 | 13 | |||||
| 91 | 11.7 | 6 | |||||
| 92 | 12.3 | 37 | |||||
| 93 | 12.3 | 29 | |||||
| 94 | 14.5 | 20 | |||||
| 95 | 13 | 28 | |||||
| 96 | 14 | 23 | |||||
| 97 | 10.6 | 30 | |||||
| 98 | 11 | 21 | |||||
| 99 | 10.4 | 31 | |||||
| 100 | 11.1 | 29 | |||||
In: Statistics and Probability
Exercise 5-20 Long-term contract; revenue recognition upon project completion; loss projected on entire project [LO5-8, 5-9] On February 1, 2018, Arrow Construction Company entered into a three-year construction contract to build a bridge for a price of $8,025,000. During 2018, costs of $2,010,000 were incurred, with estimated costs of $4,010,000 yet to be incurred. Billings of $2,512,000 were sent, and cash collected was $2,260,000.
In 2019, costs incurred were $2,512,000 with remaining costs estimated to be $3,615,000. 2019 billings were $2,762,000, and $2,485,000 cash was collected. The project was completed in 2020 after additional costs of $3,810,000 were incurred. The company’s fiscal year-end is December 31. This project does not qualify for revenue recognition over time.
Required: 1. Calculate the amount of revenue and gross profit or loss to be recognized in each of the three years.
|
2b. Prepare journal entries for 2019 to record the transactions described (credit "various accounts" for construction costs incurred).
| No | Year | General Journal | Debit | Credit |
|---|---|---|---|---|
| 1 | 2019 | Construction in progress | 2,512,000 | |
| Various accounts | 2,512,000 | |||
| 2 | 2019 | Accounts receivable | 2,762,000 | |
| Billings on construction contract | 2,762,000 | |||
| 3 | 2019 | Cash | 2,485,000 | |
| Accounts receivable | 2,485,000 | |||
| 4 | ??? Record the expected loss | ???? |
3a. Prepare a partial balance sheet to show the presentation of the project as of December 31, 2018.
|
|||||||||||||||||||||||
3b. Prepare a partial balance sheet to show the presentation of the project as of December 31, 2019.
|
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In: Accounting
The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three groups are considered: management, research and advertising (higher scores indicate higher ethical values).
| Marketing Managers | Marketing Research | Advertising |
| 5 | 4 | 10 |
| 4 | 4 | 11 |
| 3 | 3 | 10 |
| 4 | 3 | 9 |
| 5 | 4 | 10 |
| 3 | 3 | 10 |
| Sum of Squares, Treatment | |
| Sum of Squares, Error | |
| Mean Squares, Treatment | |
| Mean Squares, Error |
What is your conclusion?
Conclude the mean perception scores for the three groups are not
all the same
Cannot conclude there are differences among the mean perception
scores for the three groups
c. Using = .05, determine where differences between
the mean perception scores occur.
Calculate Fisher's LSD value (to 2 decimals).
Test whether there is a significant difference between the means for marketing managers (1), marketing research specialists (2), and advertising specialists (3).
| Difference | Absolute Value | Conclusion |
| 1 - 2 | Select:Significant difference or No significant difference | |
| 1 - 3 | Select: Significant difference or No significant difference | |
| 2 - 3 | Select: Significant difference or No significant difference |
In: Statistics and Probability
The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three groups are considered: management, research and advertising (higher scores indicate higher ethical values).
| Marketing Managers | Marketing Research | Advertising |
| 5 | 4 | 10 |
| 4 | 4 | 11 |
| 3 | 3 | 10 |
| 4 | 3 | 9 |
| 5 | 4 | 10 |
| 3 | 3 | 10 |
| Sum of Squares, Treatment | |
| Sum of Squares, Error | |
| Mean Squares, Treatment | |
| Mean Squares, Error |
What is your conclusion?
Conclude the mean perception scores for the three groups are not
all the same
Cannot conclude there are differences among the mean perception
scores for the three groups
c. Using = .05, determine where differences between
the mean perception scores occur.
Calculate Fisher's LSD value (to 2 decimals).
Test whether there is a significant difference between the means for marketing managers (1), marketing research specialists (2), and advertising specialists (3).
| Difference | Absolute Value | Conclusion |
| 1 - 2 | Select:Significant difference or No significant difference | |
| 1 - 3 | Select: Significant difference or No significant difference | |
| 2 - 3 | Select: Significant difference or No significant difference |
In: Statistics and Probability
(a) Suppose a dealer draws one card from a standard, properly shuffled, 52-card deck of cards (that is, all Jokers have been removed). (i) Describe the sample space - i.e. all of the possible outcomes (no need to write them all out, just describe them in words). (1 point) (ii) What is the probability that the card is a Heart? (1 point) (iii) What is the probability that the card is a 6? (1 point) (iv) What is the probability that the card has a number on the face (i.e. not Jack, Queen, King, or Ace)? (1 point)
(b) Suppose I flip a fair coin twice in a row. (i) Write out the set of possible outcomes (the sample space). (1 point) (ii) What is the probability that at least one flip lands with Heads facing up? (1 point) (iii) What is the probability that both flips land with Heads facing up? (1 point)
(c) Consider a business owner who can make one of three decisions about a new product. Each decision generates a lottery over different possible revenue outcomes. If he makes Decision A, then the resulting lottery, p A, generates $20, 000 in revenue with probability 0.3, $12, 000 in revenue with probability 0.15, $5, 000 in revenue with probability 0.35, and $2, 000 with probability 0.2. If he makes Decision B, then the resulting lottery, p B, generates $30, 000 in revenue with probability 0.1, $10, 000 in revenue with probability 0.6, and $1, 000 with probability 0.3. If he makes Decision C, then the resulting lottery, p C , generates $20, 000 in revenue with probability 0.2, and $8, 000 with probability 0.8. (i) Write each lottery in the form (p1, x1; p2, x2; ...; pn, xn). (2 points) (ii) Calculate the expected value (of revenue) from each decision. (3 points)
In: Statistics and Probability
A leading company in Delhi is planning to rent houses and open spaces. The houses are in three categories namely, having three bedrooms, two bedrooms and single bedroom homes. A market survey conducted by a team indicates that a maximum of 650 three bedroom homes, 500 two bedroom homes and 300 single bedroom homes can be rented. Also, the number of three bedroom homes should be at least 60% of the number of two bedroom and single bedroom homes. Open space is proportionate to the number of home units at the rates of at least 10 sq.ft, 15 sq.ft and 18 sq.ft for three bedroom, two bedroom and single bedroom homes respectively. However, land availability limits open space to no more than 10000 sq.ft. The monthly rental income is estimated at Rs. 45000, Rs. 56250 and Rs. 90000 for single bedroom, two bedroom and three bedroom homes respectively. The open space rents for Rs. 7500/sq.ft. Formulate the above as an LPP so as to get maximal revenue. (4) b) Convert the following problem to standard form explaining the various steps.
In: Accounting
A leading company in Delhi is planning to rent houses and open spaces. The houses are in three categories namely, having three bedrooms, two bed- rooms and single bedroom homes. A market survey conducted by a team indi- cates that a maximum of 650 three bedroom homes, 500 two bedroom homes and 300 single bedroom homes can be rented. Also, the number of three bed- room homes should be at least 60% of the number of two bedroom and single bedroom homes. Open space is proportionate to the number of home units at the rates of at least 10 sq.ft, 15 sq.ft and 18 sq.ft for three bedroom, two bedroom and single bedroom homes respectively. However, land availability limits open space to no more than 10000 sq.ft. The monthly rental income is estimated at Rs. 45000, Rs. 56250 and Rs. 90000 for single bedroom, two bedroom and three bedroom homes respectively. The open space rents for Rs. 7500/sq.ft. Formulate the above as an LPP so as to get maximal revenue.
In: Statistics and Probability
what three aspects of a vechioe purchase should be negotiated? in what order?
distinguish between mediation and arbitration?
In: Finance
What is an Integrative Review? What is a Meta-Analysis? What is a Systemic Review? What is the differences between the three?
In: Nursing