Wildlife Escapes generates average revenue of $6,250 per person on its 5-day package tours to wildlife parks in Kenya. The variable costs per person are as follows:
Airfare
$1,100
Hotel accommodations
1,950
Meals
900
Ground transportation
600
Park tickets and other costs
700
Total
$5,250
Annual fixed costs total $590,000.
|
1. |
Calculate the number of package tours that must be sold to break even. |
|
2. |
Calculate the revenue needed to earn a target operating income of $92,000. |
|
3. |
If fixed costs increase by $29,500, what decrease in variable cost per person must be achieved to maintain the breakeven point calculated in requirement 1? |
|
4. |
The general manager at Wildlife Escapes proposes to increase the price of the package tour to $7,750 to decrease the breakeven point in units. Using information in the originalproblem, calculate the new breakeven point in units. What factors should the general manager consider before deciding to increase the price of the package tour? |
In: Accounting
4. NFL Combine
The 40-yard dash time (i.e. the amount of time it takes to run 40 yards of the prospective NFL running backs is normally distributed with a mean of 4.53 seconds and a standard deviation of 0.2 seconds. For the corner backs, it is also normally distributed with a mean of 4.46 seconds and a standard deviation of 0.3 seconds.
(a) Find the probability that a running back finishes the 40 yard dash between 4.33 and 4.73 seconds.
(b) Find the probability that a randomly selected running back outruns a randomly selected corner back (i.e. the probability that the running back completes a 40 yard dash more quickly than a corner back).
(c) Find the probability that a random sample of n=25 corner backs will have an average dash time of less than 4.40 seconds.
(d) Suppose that a single line backer (not a corner back and not a running back- so you don't know the population mean or variance) ran 41 40 yard dashes, over the course of one week. His average time over these 41 trials was 4.50 seconds and the standard deviation was 0.3 seconds. Find a 95% confidence interval for the mean of his true 40 yard dash time.
In: Statistics and Probability
FINANCIAL LEVERAGE EFFECTS - Hello! This is all one question, thank you very much in advance! Will thumbs up for answer! :D
The Neal Company wants to estimate next year's return on equity (ROE) under different financial leverage ratios. Neal's total capital is $13 million, it currently uses only common equity, it has no future plans to use preferred stock in its capital structure, and its federal-plus-state tax rate is 40%. The CFO has estimated next year's EBIT for three possible states of the world: $4.1 million with a 0.2 probability, $2.9 million with a 0.5 probability, and $0.3 million with a 0.3 probability. Calculate Neal's expected ROE, standard deviation, and coefficient of variation for each of the following debt-to-capital ratios. Do not round intermediate calculations. Round your answers to two decimal places at the end of the calculations.
Debt/Capital ratio is 0.
| RÔE = | % |
| σ = | % |
| CV = |
Debt/Capital ratio is 10%, interest rate is 9%.
| RÔE = | % |
| σ = | % |
| CV = |
Debt/Capital ratio is 50%, interest rate is 11%.
| RÔE = | % |
| σ = | % |
| CV = |
Debt/Capital ratio is 60%, interest rate is 14%.
| RÔE = | % |
| σ = | % |
| CV = |
In: Finance
Tombro Industries is in the process of automating one of its plants and developing a flexible manufacturing system. The company is finding it necessary to make many changes in operating procedures. Progress has been slow, particularly in trying to develop new performance measures for the factory.
In an effort to evaluate performance and determine where improvements can be made, management has gathered the following data relating to activities over the last four months:
|
Month |
||||||||
| 1 | 2 | 3 | 4 | |||||
| Quality control measures: | ||||||||
| Number of defects | 195 | 173 | 134 | 95 | ||||
| Number of warranty claims | 56 | 49 | 40 | 37 | ||||
| Number of customer complaints | 112 | 106 | 89 | 68 | ||||
| Material control measures: | ||||||||
| Purchase order lead time | 10 days | 9 days | 7 days | 5 days | ||||
| Scrap as a percent of total cost | 2 | % | 2 | % | 3 | % | 6 | % |
| Machine performance measures: | ||||||||
| Machine downtime as a percentage of availability | 3 | % | 4 | % | 4 | % | 6 | % |
| Use as a percentage of availability | 95 | % | 92 | % | 89 | % | 85 | % |
| Setup time (hours) | 10 | 12 | 13 | 14 | ||||
| Delivery performance measures: | ||||||||
| Throughput time | ? | ? | ? | ? | ||||
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | ||||
| Delivery cycle time | ? | ? | ? | ? | ||||
| Percentage of on-time deliveries | 96 | % | 95 | % | 92 | % | 89 | % |
The president has read in industry journals that throughput time, MCE, and delivery cycle time are important measures of performance, but no one is sure how they are computed. You have been asked to assist the company, and you have gathered the following data relating to these measures:
|
Average per Month (in days) |
||||
| 1 | 2 | 3 | 4 | |
| Wait time per order before start of production | 9.0 | 10.8 | 12.0 | 14.0 |
| Inspection time per unit | 0.8 | 0.7 | 0.7 | 0.7 |
| Process time per unit | 2.8 | 2.7 | 2.6 | 1.1 |
| Queue time per unit | 4.1 | 4.4 | 6.3 | 8.6 |
| Move time per unit | 0.3 | 0.4 | 0.4 | 0.6 |
Required:
1-a. Compute the throughput time for each month. (Round your answers to 1 decimal place.)
1-b. Compute the manufacturing cycle efficiency (MCE) for each month. (Round your answers to 1 decimal place.)
1-c. Compute the delivery cycle time for each month. (Round your answers to 1 decimal place.)
3-a. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 5 the inspection time, process time, and so forth, are the same as for month 4, except that the company is able to completely eliminate the queue time during production using Lean Production. Compute the new throughput time and MCE. (Round your answers to 1 decimal place.)
3-b. Refer to the move time, process time, and so forth, given for month 4. Assume that in month 6 the inspection time, process time, and so forth, are the same as in month 4, except that the company is able to eliminate both the queue time during production and the inspection time using Lean Production. Compute the new throughput time and MCE.. (Round your answers to 1 decimal place.)
In: Accounting
Tombro Industries is in the process of automating one of its plants and developing a flexible manufacturing system. The company is finding it necessary to make many changes in operating procedures. Progress has been slow, particularly in trying to develop new performance measures for the factory.
In an effort to evaluate performance and determine where improvements can be made, management has gathered the following data relating to activities over the last four months:
|
Month |
||||||||
| 1 | 2 | 3 | 4 | |||||
| Quality control measures: | ||||||||
| Number of defects | 185 | 163 | 124 | 91 | ||||
| Number of warranty claims | 46 | 39 | 30 | 27 | ||||
| Number of customer complaints | 102 | 96 | 79 | 58 | ||||
| Material control measures: | ||||||||
| Purchase order lead time | 8 days | 7 days | 5 days | 4 days | ||||
| Scrap as a percent of total cost | 1 | % | 1 | % | 2 | % | 3 | % |
| Machine performance measures: | ||||||||
| Machine downtime as a percentage of availability | 3 | % | 4 | % | 4 | % | 6 | % |
| Use as a percentage of availability | 95 | % | 92 | % | 89 | % | 85 | % |
| Setup time (hours) | 8 | 10 | 11 | 12 | ||||
| Delivery performance measures: | ||||||||
| Throughput time | ? | ? | ? | ? | ||||
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | ||||
| Delivery cycle time | ? | ? | ? | ? | ||||
| Percentage of on-time deliveries | 96 | % | 95 | % | 92 | % | 89 | % |
The president has read in industry journals that throughput time, MCE, and delivery cycle time are important measures of performance, but no one is sure how they are computed. You have been asked to assist the company, and you have gathered the following data relating to these measures:
|
Average per Month (in days) |
||||
| 1 | 2 | 3 | 4 | |
| Wait time per order before start of production | 9.0 | 11.5 | 12.0 | 14.0 |
| Inspection time per unit | 0.8 | 0.7 | 0.7 | 0.7 |
| Process time per unit | 2.1 | 2.0 | 1.9 | 1.8 |
| Queue time per unit | 2.8 | 4.4 | 6.0 | 7.0 |
| Move time per unit | 0.3 | 0.4 | 0.4 | 0.5 |
|
1-a. Compute the throughput time for each month. (Round your answers to 1 decimal place.) 1-b. Compute the manufacturing cycle efficiency (MCE) for each month. (Round your answers to 1 decimal place.) 1-c. Compute the delivery cycle time for each month. (Round your answers to 1 decimal place.) |
||||
3-a. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 5 the inspection time, process time, and so forth, are the same as for month 4, except that the company is able to completely eliminate the queue time during production using Lean Production. Compute the new throughput time and MCE. (Round your answers to 1 decimal place.)
3-b. Refer to the move time, process time, and so forth, given for month 4. Assume that in month 6 the inspection time, process time, and so forth, are the same as in month 4, except that the company is able to eliminate both the queue time during production and the inspection time using Lean Production. Compute the new throughput time and MCE.. (Round your answers to 1 decimal place.)
In: Accounting
Problem 11-19 (Algo) Internal Business Process Performance Measures [LO11-3]
Tombro Industries is in the process of automating one of its plants and developing a flexible manufacturing system. The company is finding it necessary to make many changes in operating procedures. Progress has been slow, particularly in trying to develop new performance measures for the factory.
In an effort to evaluate performance and determine where improvements can be made, management has gathered the following data relating to activities over the last four months:
| Month | ||||||||
| 1 | 2 | 3 | 4 | |||||
| Quality control measures: | ||||||||
| Number of defects | 197 | 175 | 136 | 97 | ||||
| Number of warranty claims | 58 | 51 | 42 | 39 | ||||
| Number of customer complaints | 114 | 108 | 91 | 70 | ||||
| Material control measures: | ||||||||
| Purchase order lead time | 8 days | 7 days | 5 days | 4 days | ||||
| Scrap as a percent of total cost | 2 | % | 2 | % | 3 | % | 6 | % |
| Machine performance measures: | ||||||||
| Machine downtime as a percentage of availability | 5 | % | 6 | % | 6 | % | 10 | % |
| Use as a percentage of availability | 94 | % | 91 | % | 88 | % | 84 | % |
| Setup time (hours) | 8 | 10 | 11 | 12 | ||||
| Delivery performance measures: | ||||||||
| Throughput time | ? | ? | ? | ? | ||||
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | ||||
| Delivery cycle time | ? | ? | ? | ? | ||||
| Percentage of on-time deliveries | 95 | % | 94 | % | 91 | % | 88 | % |
The president has read in industry journals that throughput time, MCE, and delivery cycle time are important measures of performance, but no one is sure how they are computed. You have been asked to assist the company, and you have gathered the following data relating to these measures:
| Average per Month (in days) |
||||
| 1 | 2 | 3 | 4 | |
| Wait time per order before start of production |
10.0 | 12.3 | 13.0 | 15.0 |
| Inspection time per unit | 0.8 | 0.7 | 0.7 | 0.7 |
| Process time per unit | 2.8 | 2.4 | 2.2 | 1.1 |
| Queue time per unit | 3.1 | 5.2 | 6.7 | 8.6 |
| Move time per unit | 0.3 | 0.4 | 0.4 | 0.6 |
Required:
1-a. Compute the throughput time for each month.
1-b. Compute the manufacturing cycle efficiency (MCE) for each month.
1-c. Compute the delivery cycle time for each month.
3-a. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 5 the inspection time, process time, and so forth, are the same as for month 4, except that the company is able to completely eliminate the queue time during production using Lean Production. Compute the new throughput time and MCE.
3-b. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 6 the inspection time, process time, and so forth, are the same as in month 4, except that the company is able to eliminate both the queue time during production and the inspection time using Lean Production. Compute the new throughput time and MCE.
In: Operations Management
This is all one question:
A theater uses the following table/sheet to manage ticket sales, which turned out to be a very bad practice. The manager of theater hires you to design a database to manage the ticket sale information.
TICKET-SALES (InvoiceNumber, CustomerID, ShowTitle, SeatType, SeatLocation, TicketPrice, CustomerName, CustomerCell, ShowTime, Director_of_Show)
Note: A customer can purchase multiple seats in one order (with one InvoiceNumber). It is also the common sense that the price of a ticket/seat depends on the show, it’s showtime and seat location. Also note this theater may have multiple shows at the same time.
To do your job, you need to answer the following questions:
-List al Functional Dependencies
-List Multivalued Dependencies, if there is any.
-What is the key of original table (TICKET-SALES)?
-What normal form this table is in and Why? Give a clear justification/explanation
-How do you normalize it? Show the result of normalization
In: Computer Science
Please show work/explain on each question:
1.According to a recent census, 15% of the people in the United States are of Hispanic origin. One county supervisor believes her county has a lower proportion of Hispanic people than the nation as a whole. She looks at their most recent survey data, which was a random sample of 485 county residents, and found that 43 of those surveyed are of Hispanic origin. Calculate the test statistic Z.
Group of answer choices
3.64
-4.56
-3.78
-3.01
2.
According to a recent census, 14% of the people in the United States are of Hispanic origin. One county supervisor believes her county has a different proportion of Hispanic people than the nation as a whole. She looks at their most recent survey data, which was a random sample of 460 county residents, and found that 42 of those surveyed are of Hispanic origin. Test statistic Z is found to be -3.01. Use α = 0.01. State the conclusion.
Group of answer choices
Do not Reject Ho, There is not sufficient evidence that the Hispanic population in this county differs from that of the nation as a whole.
Reject Ho. There is not sufficient evidence that the Hispanic population in this county differs from that of the nation as a whole.
Reject Ho.There is evidence that the Hispanic population in this county differs from that of the nation as a whole.
Do not Reject Ho. There is evidence that the Hispanic population in this county differs from that of the nation as a whole.
3.
If Test statistic Z is found to be 1.01 and HA: p > 0.09, what is P-value?
Group of answer choices
0.0000
0.1562
0.0131
0.0035
4.
In 1960, census results indicated that the age at which men in a certain region first married had a mean of 24.2 years. We want to find out if the mean age of first marriage has decreased from 24.2 years since then (µ < 24.2) . The 40 men in our sample first married at an average age of 23.2 years, with a sample standard deviation s of 5.4 years. The test statistic t is -1.171. Then, P-value is __________________.
Group of answer choices
P(t = -1.171)
P(t<-1.171)
P(t > 1.171)x2
P(t ≠ 1.171)
5.
In 1960, census results indicated that the age at which men in a certain region first married had a mean of 24.5 years. It is widely suspected that young people today are waiting longer to get married. We want to find out if the mean age of first marriage has increased from 24.5 years since then (µ > 24.5). The 40 men in our sample first married at an average age of 25.4 years, with a sample standard deviation s of 5.3 years. The P-value is 0.145. State the conclusion using α = 0.01.
Group of answer choices
Reject Ho. There is not sufficient evidence that the mean age of first marriage differs from the mean age in 1960.
Do not Reject Ho. There is sufficient evidence that the mean age of first marriage is greater than the mean age in 1960.
Reject Ho. There is sufficient evidence that the mean age of first marriage is greater than the mean age in 1960.
Do not Reject Ho. There is not sufficient evidence that the mean age of first marriage is greater than the mean age in 1960.
6.
In 1960, census results indicated that the age at which men in a certain region first married had a mean of 23.5 years. We want to find out if the mean age of first marriage has changed/differed from 23.5 years since then. The 40 men in our sample first married at an average age of 24.3 years, with a sample standard deviation s of 5.3 years. Calculate the test statistic t.
Group of answer choices
1.171
1.074
0.955
0.145
7.
Ahmadi, Inc. has been manufacturing small automobiles that have averaged 50 miles per gallon of gasoline in highway driving. The company has developed a more efficient engine for its small cars and now advertises that its new small cars average more than 50 miles per gallon in highway driving. An independent testing service road-tested 64 of the new small automobiles. The sample showed an average of 51.5 miles per gallon. The population standard deviation is 4 miles per gallon.
Ahmadi, Inc wants to conduct a hypothesis test to determine whether or not it is legitimate campaign that the new small cars average more than 50 miles per gallon in highway driving. Use α = 0.05
What type of the test is appropriate?
Group of answer choices
No answer text provided.
t-test for one population mean
z-test for one population proportion
z-test for one population mean
In: Statistics and Probability
| Probability | Stock A | Stock B | Stock C |
| 0.2 | 0.14 | 0.29 | 0.04 |
| 0.2 | 0.11 | 0.21 | 0.09 |
| 0.2 | 0.0525 | 0.25 | 0.14 |
| 0.4 | -0.03 | 0.1 | 0.2 |
1) Find all Covariance between all possible point
2) Find all Correlation between all possible point
| Portfolio | Stock A | Stock B | Stock C |
| 1 | 40% | 60% | |
| 2 | 60% | 40% | |
| 3 | 35% | 30% | 35% |
1) Calcuate Portfolio Variance
2) Calculate Expected Return for each portfolio
In: Finance
New York City is the most expensive city in the United States for lodging. The mean hotel room rate is $204 per night. Assume that room rates are normally distributed with a standard deviation of $55.
a. What is the probability that a hotel room costs $225 or more per night?
b. What is the probability that a hotel room costs less than $140 per night?
c. What is the probability that a hotel room costs between $200 and $300 per night?
d. What is the cost of the 20% most expensive hotel rooms in the New York City?
In: Statistics and Probability