In the rainy season, the Amazon flows fast and runs deep. In one location, the river is 25 m deep and moves at a speed of 4.5 m/stoward the east. The earth's 50 μT magnetic field is parallel to the ground and directed northward.
If the bottom of the river is at 0 V, what is the potential (magnitude and sign) at the surface?
In: Physics
Which of the following statements is FALSE? Select one: a. With a discount loan, the borrower is required to pay the interest at the end of the loan period. b. A bridge loan is another type of short-term bank loan that is often used to "bridge the gap" until a firm can arrange for long-term financing. c. Bridge loans are often quoted as discount loans with fixed interest rates. d. After a natural disaster, lenders may provide businesses with short-term loans to serve as bridges until they receive insurance payments or long-term disaster relief.
Which of the following statements is FALSE?
Select one:
a. Inventory helps minimize the risk that the firm will not be able to obtain an input it needs for production.
b. Firms may hold inventory because factors such as seasonality in demand mean that customer purchases do not perfectly match the most efficient production cycle.
c. Because excessive inventory uses cash, efficient management of inventory increases firm value.
d. If a firm holds too much inventory, stock-outs, the situation when a firm runs out of product, may occur, leading to lost sales.
Clear my choice
In: Finance
Calculate the maximum rate at which a rocket can expel gases if its acceleration cannot exceed seven times that of gravity. The mass of the rocket just as it runs out of fuel is75800 kg, and its exhaust velocity is 2.00 ? 103 m/s. Assume that the acceleration of gravity is the same as on the earth's surface (9.80 m/s2).
In: Physics
Application assignment: using Excel
Descriptive Statistics of Quantitative Data (measured on Ratio scale).
Use this file for submission, but use Excel to do your work and copy and paste in the appropriate places identified in this word file.
Note: The following Excel functions in answering Questions 1 and 2 below.
AVERAGE , AVEDEV, COUNT, CORREL, MIN, MAX, MDIAN, MODE, STDEV , STDEVP, STDEV.P, and STDEV.S
Q3. Data Analysis descriptive Option on Excel 2010 or later to obtain descriptive statistics (Mean, Standard Error, Median, Mode,… ) of both variables X and Y.
Insert your answer here .
Note: Copy the data for the two variables into an excel file and calculate the Descriptive Statistics of both X and Y (using Excel) as explained in class. After you find the required statistics in excel copy them and paste your answer below.
Descriptive for the X values:
Descriptive for the X values:
Table 1
|
ID |
X |
Y |
|
1 |
3 |
29 |
|
2 |
4 |
32 |
|
3 |
4 |
34 |
|
4 |
5 |
36 |
|
5 |
5 |
37 |
|
6 |
5 |
38 |
|
7 |
5 |
39 |
|
8 |
6 |
40 |
|
9 |
6 |
41 |
|
10 |
6 |
42 |
|
11 |
6 |
42 |
|
12 |
7 |
43 |
|
13 |
7 |
44 |
|
14 |
7 |
44 |
|
15 |
7 |
45 |
|
16 |
7 |
45 |
|
17 |
8 |
46 |
|
18 |
8 |
46 |
|
19 |
8 |
47 |
|
20 |
8 |
47 |
|
21 |
9 |
48 |
|
22 |
9 |
48 |
|
23 |
9 |
49 |
|
24 |
9 |
49 |
|
25 |
9 |
50 |
|
26 |
10 |
51 |
|
27 |
10 |
51 |
|
28 |
10 |
52 |
|
29 |
10 |
52 |
|
30 |
10 |
53 |
|
31 |
11 |
53 |
|
32 |
11 |
54 |
|
33 |
11 |
54 |
|
34 |
11 |
55 |
|
35 |
12 |
55 |
|
36 |
12 |
56 |
|
37 |
12 |
56 |
|
38 |
13 |
57 |
|
39 |
13 |
58 |
|
40 |
13 |
58 |
|
41 |
14 |
59 |
|
42 |
14 |
60 |
|
43 |
15 |
61 |
|
44 |
15 |
62 |
|
45 |
16 |
63 |
|
46 |
17 |
64 |
|
47 |
18 |
66 |
|
48 |
19 |
68 |
|
49 |
21 |
71 |
|
50 |
23 |
73 |
In: Computer Science
Exercise 9-44 (Algo) Activity-Based Costing versus Traditional Costing (LO 9-4, 5, 6)
Doaktown Products manufactures fishing equipment for recreational uses. The Miramichi plant produces the company’s two versions of a special reel used for river fishing. The two models are the M-008, a basic reel, and the M-123, a new and improved version. Cost accountants at company headquarters have prepared costs for the two reels for the most recent period. The plant manager is concerned. The cost report does not coincide with her intuition about the relative costs of the two models. She has asked you to review the cost accounting and help her prepare a response to headquarters.
Manufacturing overhead is currently assigned to products based on their direct labor costs. For the most recent month, manufacturing overhead was $296,000. During that time, the company produced 12,000 units of the M-008 and 2,600 units of the M-123. The direct costs of production were as follows:
| M-008 | M-123 | Total | ||||
| Direct materials | $ | 96,000 | $ | 104,000 | $ | 200,000 |
| Direct labor | 96,000 | 52,000 | 148,000 | |||
Management determined that overhead costs are caused by three cost drivers. These drivers and their costs for last year were as follows:
| Activity Level | |||||||||
| Cost Driver | Costs | M-008 | M-123 | Total | |||||
| Number of machine-hours | $ | 116,000 | 8,000 | 2,000 | 10,000 | ||||
| Number of production runs | 80,000 | 10 | 30 | 40 | |||||
| Number of inspections | 100,000 | 10 | 40 | 50 | |||||
| Total overhead | $ | 296,000 | |||||||
Required:
a. How much overhead will be assigned to each product if these three cost drivers are used to allocate overhead? What is the total cost per unit produced for each product? (Round your intermediate calculations and final answers to 2 decimal places.)
m-008 m-123
total over head
total unit cost
b. How much of the overhead will be assigned to each product if direct labor cost is used to allocate overhead? What is the total cost per unit produced for each product? (Round "Total unit cost" to 2 decimal places.)
m-008 m-123
total over head
total unit cost
In: Accounting
College Supply Company (CSC) makes three types of drinking glasses: short, medium, and tall. It presently applies overhead using a predetermined rate based on direct labor-hours. A group of company employees recommended that CSC switch to activity-based costing and identified the following activities, cost drivers, estimated costs, and estimated cost driver units for Year 5 for each activity center.
| Activity | Recommended Cost Driver |
Estimated Cost |
Estimated Cost Driver Units |
||||
| Setting up production | Number of production runs | $ | 38,400 | 120 | runs | ||
| Processing orders | Number of orders | 52,800 | 220 | orders | |||
| Handling materials | Pounds of materials | 14,000 | 7,000 | pounds | |||
| Using machines | Machine-hours | 66,000 | 11,000 | hours | |||
| Providing quality management | Number of inspections | 48,000 | 40 | inspections | |||
| Packing and shipping | Units shipped | 42,000 | 21,000 | units | |||
| $ | 261,200 | ||||||
In addition, management estimated 2,000 direct labor-hours for year 5.
Assume that the following cost driver volumes occurred in February, year 5:
| Short | Medium | Tall | |||||||
| Number of units produced | 900 | 600 | 300 | ||||||
| Direct materials costs | $ | 4,000 | $ | 3,000 | $ | 1,500 | |||
| Direct labor-hours | 100 | 130 | 100 | ||||||
| Number of orders | 8 | 8 | 5 | ||||||
| Number of production runs | 1 | 3 | 7 | ||||||
| Pounds of material | 400 | 800 | 200 | ||||||
| Machine-hours | 500 | 200 | 400 | ||||||
| Number of inspections | 1 | 1 | 2 | ||||||
| Units shipped | 900 | 600 | 200 | ||||||
Direct labor costs were $20 per hour.
Required:
a. Compute a predetermined overhead rate for year 5 for each cost driver recommended by the employees. Also compute a predetermined rate using direct labor-hours as the allocation base. (Round your answers to 2 decimal places.)
b. Compute the production costs for each product for February using direct labor-hours as the allocation base and the predetermined rate computed in requirement a. (Do not round intermediate calculations.)
c. Compute the production costs for each product for February using the cost drivers recommended by the employees and the predetermined rates computed in requirement a.(Note: Do not assume that total overhead applied to products in February will be the same for activity-based costing as it was for the labor-hour-based allocation.) (Do not round intermediate calculations.)
In: Accounting
Use Python 3, please type.
Write a Python 3 program which is an arithmetic quiz for children. The program asks the user to calculate the multiplication of two numbers generated at random in your code. The numbers should be in the range 1 through 10. User input is shown in bold black font in the example below.
You will need to use random numbers. You should type the recommended comments at the top of your code and include three test runs in the comments.
Example program run:
Please enter the result of multiplying 6 x 7 :
42
Correct.
Another question? (y/n):
y
Please enter the result of multiplying 2 x 7 :
13
Incorrect.
Another question? (y/n):
n
You scored 1 out of 2. That is 50% and letter grade": P
In: Computer Science
For all calculations, please keep two decimals for the final answer.
Use the data set below for Questions 1, &
2:
| ID | Sit-ups (Test A) | Softball Throw / ft (Test B) | 40-Yard Dash (Test C) |
| 1 | 23 | 25 | 9 |
| 2 | 34 | 40 | 7.7 |
| 3 | 40 | 38 | 7.1 |
| 4 | 31 | 38 | 7.5 |
| 5 | 35 | 39 | 7.4 |
| 6 | 20 | 24 | 8.3 |
| 7 | 44 | 53 | 7.2 |
| 8 | 22 | 34 | 7.6 |
| 9 | 39 | 42 | 6.9 |
| 10 | 37 | 45 | 7.2 |
| 11 | 32 | 45 | 7.3 |
| 12 | 33 | 39 | 7.6 |
Make three scatter plots:
the first one is for the data sets of Test A (Sit-Ups) & Test C (40-Yard Dash),
the second one is for the data sets of Test A (Sit-Ups) & Test B (Softball Throw), and
the last one is for the data sets of Test B (Softball Throw) & Test C (40-Yard Dash).
For each scatter plot, briefly describe your observations (e.g., does the plot show you a positive or negative relationship between the two variables? Is the relationship between the two variables strong, weak or moderate? Does a straight line fit the data better than a curve line?)
show all work. Calculate correlation coefficients for:
Test A (Sit-Ups) & Test C (40 Yard Dash) = __________
Test A (Sit-Ups) & Test B (Softball Throw) = __________
Test B (Softball Throw) & Test C (40-Yard Dash) = __________
Based on your calculation, please answer the following question for each correlation coefficient: what does the correlation coefficient indicate (hint: direction, degree and form)?
In: Statistics and Probability
Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows:
Complete the equation below for an estimated regression equation developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP) (to 3 decimals).
R/IP =(___) + (___) SO/IP + (___) HR/IP
Use the test to determine the overall significance of the relationship.
Compute F test statistic (to 2 decimals).
(___)
The p-value is (to 3 decimals).
(___)
Use the t test to determine the significance of each independent variable.
Compute the test statistic for the significance of SO/IP (to 2 decimals).
(___)
The p-value is (to 3 decimals).
(___)
Compute the t-test statistic for the significance of HR/IP (to 2 decimals).
(__)
The p-value is (to 3 decimals).
(__)
| Player | Team | W | L | ERA | SO/IP | HR/IP |
| Verlander, J | DET | 24 | 5 | 2.39 | 1.00 | 0.10 |
| Beckett, J | BOS | 13 | 7 | 2.88 | 0.90 | 0.11 |
| Wilson, C | TEX | 16 | 7 | 2.93 | 0.92 | 0.07 |
| Sabathia, C | NYY | 19 | 8 | 3.00 | 0.96 | 0.06 |
| Haren, D | LAA | 16 | 10 | 3.16 | 0.81 | 0.07 |
| McCarthy, B | OAK | 9 | 9 | 3.32 | 0.71 | 0.05 |
| Santana, E | LAA | 11 | 12 | 3.38 | 0.78 | 0.11 |
| Lester, J | BOS | 15 | 9 | 3.46 | 0.95 | 0.10 |
| Hernandez, F | SEA | 14 | 14 | 3.47 | 0.94 | 0.08 |
| Buehrle, M | CWS | 13 | 9 | 3.58 | 0.52 | 0.09 |
| Pineda, M | SEA | 9 | 10 | 3.73 | 1.01 | 0.10 |
| Colon, B | NYY | 8 | 10 | 3.99 | 0.82 | 0.13 |
| Tomlin, J | CLE | 12 | 7 | 4.24 | 0.53 | 0.15 |
| Pavano, C | MIN | 9 | 13 | 4.29 | 0.46 | 0.09 |
| Danks, J | CWS | 8 | 12 | 4.32 | 0.78 | 0.11 |
| Guthrie, J | BAL | 9 | 17 | 4.32 | 0.63 | 0.12 |
| Lewis, C | TEX | 14 | 10 | 4.40 | 0.83 | 0.17 |
| Scherzer, M | DET | 15 | 9 | 4.42 | 0.89 | 0.15 |
| Davis, W | TB | 11 | 10 | 4.45 | 0.57 | 0.12 |
| Porcello, R | DET | 14 | 9 | 4.74 | 0.57 | 0.10 |
In: Statistics and Probability
Omar’s income is higher than Debbie’s income. Two of the notable differences between their jobs are that Omar must work outside year round (even when it is very hot in the summer and very cold in the winter) and Omar runs a greater risk of being injured on the job. This would seem to suggest that the difference in incomes between the two individuals is
Question 8 options:
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In: Economics