On December 31, 2013, the Mallory Corporation had the following activity in its fixed assets
record. Assume all assets were purchased on January 1.
|
Equipment |
Cost |
Salvage |
Date |
Life |
Method of Depreciation |
|
Machine 1 |
$65,000 |
$5,000 |
2012 |
5 |
DDB |
|
Building #3 |
$900,000 not including land |
$50,000 |
2004 |
25 |
S/L |
|
Mine 316 |
$1,000,000 |
$0 |
2010 |
1,000,000 tons |
30,000 tons extracted |
|
Mine 682 |
$500,000 |
$100,000 |
2011 |
40,000 barrels |
6,000 barrels extracted |
|
Patent |
$50,000 |
0 |
2010 |
17 |
|
|
Truck 1 |
$35,000 |
$3,000 |
2010 |
200,000 miles |
Units of production: total miles depreciated to date are 60,000 as of January 1, 2006. Miles this year 30,000 |
|
Truck 2 |
$50,000 |
$5,000 |
2009 |
150,000 miles |
Units of production, miles this year are 15,000 |
|
Truck 3 |
$75,000 |
$10,000 |
2008 |
200,000 miles |
Units of production: total miles depreciated to date are 180,000 as of January 1, 2006. Miles in 2006 are 30,000 miles. |
|
Machine 2 |
$100,000 |
$5,000 |
2003 |
10 |
S/L |
REQUIRED:
· Compute the depletion, amortization, and depreciation expense on December 31, 2013 for each asset listed above.
· Record the entries for the assets above
· Suppose that we sold machine 2 for $50,000, record the entry
· Suppose that the building life increased from 25 years to 30 years, revise the depreciation and prepare the entry.
· Suppose that the corporation spent $20,000 in 2013 to defend the patent. Record the entry.
In: Accounting
The following are quality control data for a manufacturing process at Bensdork Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle.
| Sample |
x |
R |
|---|---|---|
| 1 | 95.72 | 1.0 |
| 2 | 95.24 | 0.9 |
| 3 | 95.18 | 0.8 |
| 4 | 95.46 | 0.4 |
| 5 | 95.46 | 0.5 |
| 6 | 95.32 | 1.1 |
| 7 | 95.40 | 0.8 |
| 8 | 95.44 | 0.3 |
| 9 | 95.08 | 0.2 |
| 10 | 95.50 | 0.6 |
| 11 | 95.80 | 0.6 |
| 12 | 95.22 | 0.2 |
| 13 | 95.60 | 1.3 |
| 14 | 95.22 | 0.4 |
| 15 | 95.04 | 0.8 |
| 16 | 95.72 | 1.1 |
| 17 | 94.82 | 0.6 |
| 18 | 95.46 | 0.5 |
| 19 | 95.60 | 0.4 |
| 20 | 95.74 | 0.6 |
The company is interested in using control charts to monitor the temperature of its manufacturing process. Compute the upper and lower control limits for the R chart. (Round your answers to three decimal places.)
UCL= ________
LCL= _________
Compute the upper and lower control limits for the x chart. (Round your answers to three decimal places.)
UCL=________
LCL= _________
In: Statistics and Probability
Trucks in a delivery fleet travel a mean of 130 miles per day with a standard deviation of 17 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives less than 164 miles in a day. Round your answer to four decimal places.
In: Statistics and Probability
Trucks in a delivery fleet travel a mean of 120 miles per day with a standard deviation of 18 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives less than 132 miles in a day. Round your answer to four decimal places.
In: Statistics and Probability
The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 47,225 miles, with a standard deviation of 3178 miles. What is the probability that the sample mean would be greater than 47,050 miles in a sample of 208 tires if the manager is correct? Round your answer to four decimal places.
In: Statistics and Probability
Speeding on the I-5. Suppose the distribution of passenger vehicle speeds traveling on the Interstate 5 Freeway (I-5) in California is nearly normal with a mean of 73.8 miles/hour and a standard deviation of 4.96 miles/hour. Round all answers to four decimal places.
What proportion of passenger vehicles travel slower than 64 miles/hour?
What proportion of passenger vehicles travel between 63 and 70 miles/hour?
How fast do the fastest 10% of passenger vehicles travel?
Suppose the speed limit on this stretch of the I-5 is 75 miles/hour. Approximately what proportion of the passenger vehicles travel above the speed limit on this stretch of the I-5?
In: Advanced Math
Suppose the average speeds of passenger trains traveling from Newark, New Jersey, to Philadelphia, Pennsylvania, are normally distributed, with a mean average speed of 88 miles per hour and a standard deviation of 6.4 miles per hour.
(a) What is the probability that a train will average less than 72 miles per hour?
(b) What is the probability that a train will average more than 80 miles per hour?
(c) What is the probability that a train will average between 91 and 99 miles per hour?
(Round the values of z to 2 decimal places. Round your answers to 4 decimal places.)
(a) P(x < 72)=???
(b) P(x > 80)=???
(c) P(91 ≤ x ≤ 99)=???
In: Statistics and Probability
hello please correct this code
print("The Miles Per Gallon program")
print()
Trips = []
trip = 0
while 1:
print("Do you want to add a trip from a csv file or Enter it manually? 1 for csv 2 for entering it manually")
method = int(input())
if method == 1:
print("Enter the filename")
fileName = input()
try:
with open(fileName, 'r') as myFile1:
reader = csv.reader(myFile1)
Trips = list(reader)
print("Miles Driven Gallons Used \tMPG")
for i in Trips:
for j in i:
print(j, end=" ")
print()
except IOError:
print ("Could not read file:", fileName)
elif method == 2:
while 1:
miles_driven = input("Enter miles driven: ")
try:
val = int(miles_driven)
break
except ValueError:
print("No.. input string is not an Integer. It's a string")
while 1:
gallons_used = input("Enter gallons of gas used: ")
try:
val2 = int(gallons_used)
break
except ValueError:
print("No.. input string is not an Integer. It's a string")
mpg = val / val2
mpg = round(mpg, 2)
Trips.append([])
Trips[trip].append(miles_driven)
Trips[trip].append(gallons_used)
Trips[trip].append(mpg)
print("Miles Driven Gallons Used \tMPG")
for i in Trips:
for j in i:
print(j, end= " ")
print()
trip += 1
choice = int(input("Do you want to add another trip? 1 for yes 0 for no "))
if choice == 1:
continue
elif choice == 0:
break
myFile = open('trips.csv', 'w')
with myFile:
writer = csv.writer(myFile)
writer.writerows(Trips)
with open('trips.csv', newline='') as myFile:
reader = csv.reader(myFile)
for row in reader:
print(row)
print("Elemnts from the csv file printed which means it was stored successfully")
i need result as
EXAMPLE RUN 1: - Bad filename C:\Files.py The Miles Per Gallon
program
Would you like to read trips from a file? y/n: y Enter the csv
filename containing trip data: test Trips not read from file - file
not found: test Would you like to enter trip data? y/n: y Enter
miles driven: 100 Enter gallons of gas used: 10 1. Miles: 100.0
Gallons of Gas: 10.0 Mpg: 10.0
Would you like to continue? y/n: y Enter miles driven: 50 Enter
gallons of gas used: 5 1. Miles: 100.0 Gallons of Gas: 10.0 Mpg:
10.0 2. Miles: 50.0 Gallons of Gas: 5.0 Mpg: 10.0
Would you like to continue? y/n: n
EXAMPLE RUN 2: Good filename and good inputs
C:\y The Miles Per Gallon program
Would you like to read trips from a file? y/n: y Enter the csv
filename containing trip data: trips.csv Trips: 1. Miles: 100.0
Gallons of Gas: 10.0 Mpg: 10.0 2. Miles: 50.0 Gallons of Gas: 5.0
Mpg: 10.0
Would you like to enter trip data? y/n: y Enter miles driven: 75
Enter gallons of gas used: 4 1. Miles: 100.0 Gallons of Gas: 10.0
Mpg: 10.0 2. Miles: 50.0 Gallons of Gas: 5.0 Mpg: 10.0 3. Miles:
75.0 Gallons of Gas: 4.0 Mpg: 18.75
Would you like to continue? y/n: n
c:\\
EXAMPLE RUN 3: Good Filename – bad user inputs
The Miles Per Gallon program
Would you like to read trips from a file? y/n: y Enter the csv
filename containing trip data: trips.csv Trips: 1. Miles: 100.0
Gallons of Gas: 10.0 Mpg: 10.0 2. Miles: 50.0 Gallons of Gas: 5.0
Mpg: 10.0 3. Miles: 75.0 Gallons of Gas: 4.0 Mpg: 18.75
In: Computer Science
Binomial Probabilities
A multiple-choice quiz consists of n = 10 questions in the form
True or False. Mary assumes that her comprehension level is p =
0.70, so that is the chance that she picks up a right answer. Let M
denote a number of questions Mary answered correctly. Suppose that
all TEN trials are independent.
Answer questions below using answers in the multiple-choice format.
No calculation is required here. Just recognize the proper formula
for each case.
A: (10) · (0.7) · (0.3)9
B: 1 − [(0.3)10 + (‘10) · (0.3)9 · (0.7)]
C: (10) · (0.7)9 + (0.7)10
D: (10) · (0.7)9 · (0.3)
E: 1 − [(10) · (0.7)9 + (0.7)10]
F: (0.3)10 + (10) · (0.3)9 · (0.7)
Probability that Mary has exactly NINE correct answers
Chance that Mary has at most ONE wrong answer
Probability that she correctly answers exactly ONE question
Chance that Mary has at most ONE correct answer
Probability that she has more than ONE question answered right
Chance that Mary has more than ONE wrong answer
In: Statistics and Probability
1. Investment Timing Option: Decision-Tree Analysis
Kim Hotels is interested in developing a new hotel in Seoul. The company estimates that the hotel would require an initial investment of $23 million. Kim expects the hotel will produce positive cash flows of $3.68 million a year at the end of each of the next 20 years. The project's cost of capital is 13%.
a) What is the project's net present value? Negative value, if
any, should be indicated by a minus sign. Enter your answers in
millions. For example, an answer of $10,550,000 should be entered
as 10.55. Do not round intermediate calculations. Round your answer
to two decimal places.
$ million
b) Kim expects the cash flows to be $3.68 million a year, but it
recognizes that the cash flows could actually be much higher or
lower, depending on whether the Korean government imposes a large
hotel tax. One year from now, Kim will know whether the tax will be
imposed. There is a 50% chance that the tax will be imposed, in
which case the yearly cash flows will be only $2.3 million. At the
same time, there is a 50% chance that the tax will not be imposed,
in which case the yearly cash flows will be $5.06 million. Kim is
deciding whether to proceed with the hotel today or to wait a year
to find out whether the tax will be imposed. If Kim waits a year,
the initial investment will remain at $23 million. Assume that all
cash flows are discounted at 13%. Use decision-tree analysis to
determine whether Kim should proceed with the project today or wait
a year before deciding.
-Select-It makes sense to proceed with the project today OR It
makes sense to wait a year before deciding.
2. Investment Timing Option: Option Analysis
Kim Hotels is interested in developing a new hotel in Seoul. The company estimates that the hotel would require an initial investment of $20 million. Kim expects the hotel will produce positive cash flows of $3 million a year at the end of each of the next 20 years. The project's cost of capital is 13%.
Kim expects the cash flows to be $3 million a year, but it recognizes that the cash flows could actually be much higher or lower, depending on whether the Korean government imposes a large hotel tax. One year from now, Kim will know whether the tax will be imposed. There is a 50% chance that the tax will be imposed, in which case the yearly cash flows will be only $2.2 million. At the same time, there is a 50% chance that the tax will not be imposed, in which case the yearly cash flows will be $3.8 million. Kim is deciding whether to proceed with the hotel today or to wait a year to find out whether the tax will be imposed. If Kim waits a year, the initial investment will remain at $20 million. Assume that all cash flows are discounted at 13%. Use the Black-Scholes model to estimate the value of the option. Assume that the variance of the project's rate of return is 0.0687 and that the risk-free rate is 5%. Enter your answers in millions. For example, an answer of $10,550,000 should be entered as 10.55. Do not round intermediate calculations. Round your answer to three decimal places.
Use computer software packages, such as Minitab or Excel, to solve this problem.
$ million
{I tried looking at other similar problems on here and replacing them with my numbers but i keep getting the wrong answer. Please help.}
In: Finance