Questions
Double Corporation produces baseball bats for kids that it sells for $33 each. At​ capacity, the...

Double

Corporation produces baseball bats for kids that it sells for

$33

each. At​ capacity, the company can produce

50,000

bats a year. The costs of producing and selling

50,000

bats are as​ follows:

Cost per Bat

Total Costs

Direct materials

$11

$550,000

Variable direct manufacturing labor

4

200,000

Variable manufacturing overhead

2

100,000

Fixed manufacturing overhead

3

150,000

Variable selling expenses

3

150,000

Fixed selling expenses

4

200,000

Total costs

$27

$1,350,000

1.

Suppose

Double

is currently producing and selling

40,000

bats. At this level of production and​ sales, its fixed costs are the same as given in the preceding table.

Gehrig

Corporation wants to place a​ one-time special order for

10,000

bats at

$21

each.

Double

will incur no variable selling costs for this special order. Should

Double

accept this​ one-time special​ order? Show your calculations.

2.

Now suppose

Double

is currently producing and selling

50,000

bats. If

Double

accepts

Gehrig​'s

offer it will have to sell

10,000

fewer bats to its regular customers.​ (a) On financial considerations​ alone, should

Double

accept this​ one-time special​ order? Show your calculations.​ (b) On financial considerations​ alone, at what price would

Double

be indifferent between accepting the special order and continuing to sell to its regular customers at

$33

per​ bat? (c) What other factors should

Double

consider in deciding whether to accept the​ one-time special​ order?

In: Accounting

Suppose that nominal GDP was $9000000.00 in 2005 in Montgomery County Maryland. In 2015, nominal GDP...

Suppose that nominal GDP was $9000000.00 in 2005 in Montgomery County Maryland. In 2015, nominal GDP was $11250000.00 in Montgomery County Maryland. The price level rose 1.50% between 2005 and 2015, and population growth was 3.25%. Calculate the following figures for Montgomery County Maryland between 2005 and 2015. Give all answers to two decimals.

a. Nominal GDP growth was _____%

b. Economic growth was ______%

c. Inflation was ______%

d. Real GDP growth was _______%

e. Per capita GDP growth was _______%

f. Real per capita GDP growth was ______%

In: Economics

Suppose that nominal GDP was $9750000.00 in 2005 in Orange County California. In 2015, nominal GDP...

Suppose that nominal GDP was $9750000.00 in 2005 in Orange County California. In 2015, nominal GDP was $11250000.00 in Orange County California. The price level rose 1.00% between 2005 and 2015, and population growth was 4.50%.

Calculate the following figures for Orange County California between 2005 and 2015. Give all answers to two decimals.

a. Nominal GDP growth was    %.

b. Economic growth was %.

c. Inflation was       %.

d. Real GDP growth was %.

e. Per capita GDP growth was     %.

f. Real per capita GDP growth was %.

In: Economics

Cascade Co. is planning to invest some of its excess cash in 5-year bonds issued by...

Cascade Co. is planning to invest some of its excess cash in 5-year bonds issued by Joyce Co. and in the 2% of ordinary shares of Teton Co. Both Joyce’s bonds and Teton’s shares are traded actively on securities market. Cascade Co. plans to hold the bond for long term and the shares for speculation. Regarding the accounting for these investments, answer the following


questions: 1. What is a financial asset? 2. Physical assets holder generate cash by using or selling the assets. For example, a property holder can enjoy rental income, and an inventory holder can sell it for revenue. How is a physical asset different from a financial asset? 3. What is the accounting treatment for a bond holder in general? 4. What is the accounting treatment for an equity holder in general? 5. After investing, the market value of the bond and shares fluctuate, how should Cascade account for it?

In: Accounting

Teton Village, Wyoming, near Grand Teton Park and Yellowstone Park, contains shops, restaurants, and motels. The...

Teton Village, Wyoming, near Grand Teton Park and Yellowstone Park, contains shops, restaurants, and motels. The village has two peak seasons---winter, for skiing on the 10,000-foot slopes, and summer, for tourists visiting the parks. The number of visitors(in thousands) by quarter for five years can be found in Data Table Two below

1.Develop the typical seasonal pattern for Teton Village

2. Determine the seasonally adjusted number of visitors for winter 2011.

Data Table Two

Year Quarter Number of Visitors(in thousands)
2005 Winter 117
Spring 80.7
Summer 129.6
Fall 76.1
2006 Winter 118.6
Spring 82.5
Summer 121.4
Fall 77
2007 Winter 114
Spring 84.3
Summer 119.9
Fall 75
2008 Winter 120.7
Spring 79.6
Summer 130.7
Fall 69.6
2009 Winter 125.2
Spring 80.2
Summer 127.6
Fall 72

Please post the answer with the work performed in excel and not just the answer, need to show work as I don't understand how to do this and would like the steps so that I can also learn it and it shows all work. You can add screenshots of the steps to find the answer in excel.

In: Economics

American Airlines. (AA) is an airline that operates direct, daily flights between Los Angeles (LAX) and...

American Airlines. (AA) is an airline that operates direct, daily flights between Los Angeles (LAX) and London Heathrow (LHR) airports. AA offers only business-class tickets and service on all of its flights. On the LAX-LHR route, AA flies Airbus 320 plane configured to have a capacity of 100 business-class seats.

AA sells tickets on LAX-LHR route at $3000 and offers a generous, 90% “last-minute cancellation” policy. In particular, under such policy, a customer may cancel her flight up to 30 minutes before the departure time and receive back 90% of the $3000 fare she paid. As a result, AA is able to sell many more tickets than its plane capacity. The downside is that customers who purchased tickets may not all show up for the flight.

To better manage the profitability of its LAX-LHR route in the presence of last-minute cancellations, AA uses “overbooking,” that involves selling more tickets than 100 seats on its plane. In particular, AA would like to compare two overbooking options: 1) selling T=110 tickets, and 2) selling T=115 tickets. AA is confident that, given the moderate business-class fare it charges and a generous cancellation policy it offers, it can always sell those numbers of tickets.

The sequence of events in the presence of overbooking is as follows:

·Tickets are sold to T potential passengers at the price of $3000 each

·At about 30 minutes prior to departure, the number of customers who actually show up for the flight, A, is revealed (0≤AT) and the refund of $2700 is paid to each of T-A customers who did not show up

·If A≤ 100, the plane takes off with A customers on board

·If A>100, the airline asks for A-100 volunteers to release their seats and to accept alternative flight arrangements, for additional compensation. As a result of this process, the airline pays to each of A-100 volunteers the compensation of $5000, and the plane takes off with 100 customers on board.

Thus, the revenue that AA earns for a particular flight depends on the values of T and A, and consists of three components: the initial revenue from selling tickets minus the refund, if any, paid for last-minute cancellations, and minus the additional compensation, if any, paid to customers asked to release their seats.

1) Suppose that AA decides to use Option 1 (i.e., sell T=110) tickets, and the number of customers who show up for the flight is 100. What is the revenue that AA will earn for this flight, in $? Round your answer to the closest integer value.

2) Suppose that AA decides to use Option 2 (i.e., sell T=115) tickets, and the number of customers who show up for the flight is 105. What is the revenue that AA will earn for this flight, in $? Round your answer to the closest integer value.

3) Zero Management is a business analyst working for AA who was assigned a task of comparing the two overbooking options described above. Zero has decided to design a simulation model that assumes that each of T customers who bought tickets has a probability of 0.9 of actually showing up for the flight, and that each customer makes a decision to show up for the flight independently of other customers. A statistician working for AA explained to Zero that, under these assumptions, the number of customers who actually show up for the flight, A, is a binomial random variable that can take integer values 0,1,2,… T, and that has the expected value of 0.9*T.

Suppose that the AA decides to use Option 1 (T=110). Let A be the number of customers who actually show up for the flight under this option. The algebraic expression for the revenue that AA earns for this flight, in $, is

a)   330,000 – 2,700*(100-A) – 5,000*IF(A<100, 0, A-100)

b)  330,000 – 2,700*(110-A) – 5,000*IF(A<110, 0, A-110)

c)   330,000 – 2,700*(110-A) – 5,000*IF(A<100, 0, A-100)

d)  330,000 – 2,700*(100-A) – 5,000*IF(A<110, 0, A-110)

4) Consider Option 1 (T=110). If it is possible for A to take integer values 0,1,2,…,110, what is the maximum possible revenue, in $, that AA can earn for a flight? Choose the closest value.

a)   330,000

b)  303,000

c)   300,000

d)  280,000

e)   270,600

5) Consider Option 1 (T=110). If it is possible for A to take integer values 0,1,2,…,110, what is the minimum possible revenue that AA can earn for a flight? Choose the closest value.

a)   303,000

b)  280,000

c)   270,600

d)  33,000

e)   0

In: Civil Engineering

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at...

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.

Annual Sales Growth (%) and Loyalty Card Usage (% of Net Sales)
(n = 74 restaurants)
Store Growth% Loyalty% Store Growth% Loyalty%
1 -8.3 2.1 38 7.1 1.6
2 -4.0 2.5 39 7.4 1.8
3 -3.9 1.7 40 7.7 2.2
4 -3.4 2.1 41 7.9 2.2
5 -3.3 2.5 42 8.1 2.8
6 -1.9 3.0 43 8.3 2.4
7 -0.8 2.3 44 8.5 3.1
8 -0.4 2.3 45 8.6 2.2
9 -0.2 2.2 46 8.7 1.3
10 -0.2 2.3 47 8.8 1.8
11 0.5 2.1 48 8.8 2.5
12 0.6 2.5 49 8.9 1.9
13 0.8 2.0 50 9.1 2.0
14 1.9 2.0 51 9.5 2.4
15 2.0 2.0 52 10.2 2.2
16 2.1 2.6 53 10.7 2.2
17 2.8 2.2 54 11.0 0.3
18 2.9 2.1 55 11.3 1.9
19 4.0 1.9 56 11.4 1.9
20 4.0 2.2 57 11.5 2.2
21 4.0 0.7 58 11.7 2.6
22 4.0 2.0 59 11.8 2.2
23 4.2 1.8 60 11.9 2.1
24 4.6 2.1 61 12.5 2.0
25 5.1 2.5 62 12.8 0.9
26 5.1 2.6 63 13.8 1.1
27 5.5 2.0 64 14.1 3.4
28 5.9 2.0 65 14.2 1.2
29 5.9 1.4 66 14.6 2.1
30 6.0 2.0 67 14.9 0.9
31 6.1 2.1 68 15.4 2.2
32 6.1 2.1 69 16.2 1.7
33 6.1 2.7 70 17.2 2.4
34 6.3 2.0 71 18.4 2.8
35 6.6 2.0 72 20.8 1.1
36 6.9 1.6 73 25.5 0.6
37 6.9 1.9 74 28.8 1.8



(b) Find the correlation coefficient. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)
  
r            ___________

(c-1) To test the correlation coefficient for significance at α = 0.05, fill in the following. (Use the rounded value of the correlation coefficient from part b in all calculations. For final answers, round tcalc to 3 decimal places and the p-value to 4 decimal places. Negative values should be indicated by a minus sign.)
  

tcalc
p-value

In: Statistics and Probability

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at...

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.

Annual Sales Growth (%) and Loyalty Card Usage (% of Net Sales)
(n = 74 restaurants)
Store   Growth%   Loyalty% Store   Growth%   Loyalty%
1     -7.3       2.7       38     7.5       1.9      
2 -6.5       2.7       39     7.5       2.4      
3 -6.3       1.8       40     7.5       1.5      
4 -4.9       2.0       41     7.7       2.6      
5 -3.9       2.7       42     7.8       2.1      
6 -2.0       2.4       43     7.8       1.3      
7 -1.7       1.6       44     8.1       1.3      
8 -0.6       1.7       45     8.4       2.5      
9 -0.5       1.7       46     8.6       2.0      
10 -0.5       1.9       47     8.7       0.5      
11 0.4       1.4       48     8.9       2.3      
12 0.6       2.3       49     8.9       2.4      
13 0.6       2.5       50     9.2       2.5      
14 0.7       2.5       51     9.4       1.6      
15 0.8       2.3       52     10.6       2.5      
16 1.5       2.3       53     10.6       1.3      
17 1.7       2.2       54     10.7       2.5      
18 2.0       2.0       55     10.9       1.7      
19 4.1       0.8       56     11.0       2.2      
20 4.5       1.4       57     11.0       1.3      
21 5.0       2.5       58     11.4       0.6      
22 5.0       2.5       59     11.9       1.8      
23 5.5       2.7       60     12.0       2.1      
24 5.6       1.9       61     13.2       2.5      
25 6.0       1.9       62     13.5       2.5      
26 6.0       2.3       63     14.1       1.7      
27 6.1       1.7       64     14.6       2.0      
28 6.3       1.9       65     14.8       1.7      
29 6.4       2.0       66     15.1       1.6      
30 6.4       1.3       67     15.6       0.8      
31 6.8       2.1       68     17.7       2.1      
32 7.1       1.6       69     18.2       2.1      
33 7.1       2.0       70     19.0       1.9      
34 7.1       1.7       71     19.3       1.5      
35 7.1       1.2       72     24.2       1.2      
36 7.2       1.5       73     25.0       0.7      
37 7.2       2.3       74     26.3       1.6      

Click here for the Excel Data File

(b) Find the correlation coefficient. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)

r              

(c-1) To test the correlation coefficient for significance at α = 0.025, fill in the following. (Use the rounded value of the correlation coefficient from part b in all calculations. For final answers, round tcalc to 3 decimal places and the p-value to 4 decimal places. Negative values should be indicated by a minus sign.)

  tcalc   
  p-value   

In: Statistics and Probability

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at...

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.

Annual Sales Growth (px;) and Loyalty Card Usage (px; of Net Sales)
(n = 74 restaurants)
Store Growth% Loyalty% Store Growth% Loyalty%
1 -8.0 0.5 38 7.3 2.4
2 -7.5 2.5 39 7.5 1.6
3 -6.4 2.4 40 7.8 1.9
4 -5.2 1.8 41 8.0 2.1
5 -5.0 2.1 42 8.1 1.6
6 -1.7 1.6 43 8.1 1.3
7 -0.7 2.1 44 8.5 2.5
8 -0.5 2.2 45 8.5 2.3
9 -0.5 1.2 46 8.6 1.4
10 -0.5 2.6 47 8.7 0.8
11 0.3 2.6 48 8.8 2.7
12 0.9 0.8 49 9.0 2.1
13 0.9 1.9 50 9.1 1.4
14 1.2 1.3 51 9.2 2.1
15 1.7 2.2 52 10.5 2.0
16 1.8 2.4 53 10.8 1.7
17 1.9 2.5 54 10.8 1.4
18 2.0 1.9 55 11.0 0.9
19 4.0 0.8 56 11.3 1.8
20 4.3 2.1 57 11.4 1.2
21 4.5 1.4 58 11.6 0.7
22 4.7 2.2 59 11.8 1.5
23 4.9 1.5 60 11.8 2.1
24 5.2 1.8 61 13.5 1.2
25 5.2 2.4 62 14.1 1.5
26 5.3 1.6 63 14.3 1.9
27 5.4 1.2 64 15.1 0.7
28 5.5 2.0 65 15.5 2.1
29 5.6 2.6 66 15.9 1.6
30 5.7 2.0 67 16.0 0.9
31 5.9 1.5 68 16.2 2.6
32 6.0 1.9 69 16.2 1.4
33 6.4 2.3 70 17.8 2.2
34 6.4 0.6 71 18.8 2.1
35 6.6 1.9 72 18.9 1.3
36 6.6 2.3 73 19.8 0.6
37 6.7 1.2 74 24.0 1.7



(b) Find the correlation coefficient. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)
  
r            _________

(c-1) To test the correlation coefficient for significance at α = 0.01, fill in the following. (Use the rounded value of the correlation coefficient from part b in all calculations. For final answers, round tcalc to 3 decimal places and the p-value to 4 decimal places. Negative values should be indicated by a minus sign.)

tcalc
p-value

In: Statistics and Probability

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at...

Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.

Annual Sales Growth (px;) and Loyalty Card Usage (px; of Net Sales)
(n = 74 restaurants)
Store Growth% Loyalty% Store Growth% Loyalty%
1 -6.6 1.9 38 7.4 1.2
2 -6.2 2.3 39 7.5 1.7
3 -6.1 2.2 40 7.5 2.0
4 -5.9 2.0 41 7.5 1.4
5 -3.8 2.3 42 7.6 1.2
6 -1.9 1.7 43 7.6 1.9
7 -1.9 1.9 44 7.9 1.9
8 -1.8 1.3 45 8.1 1.7
9 -0.9 1.6 46 8.3 2.7
10 -0.5 2.3 47 8.7 0.7
11 0.4 1.9 48 8.9 2.0
12 0.4 1.4 49 8.9 1.3
13 0.6 2.3 50 8.9 2.2
14 0.8 2.2 51 9.2 1.7
15 0.8 2.0 52 10.8 1.8
16 1.0 1.6 53 10.9 1.5
17 1.8 1.3 54 10.9 1.6
18 2.0 2.4 55 11.2 2.5
19 4.0 0.7 56 11.2 2.4
20 4.2 1.4 57 11.4 1.3
21 4.3 2.4 58 11.6 0.6
22 4.3 1.2 59 11.9 2.4
23 4.4 2.5 60 11.9 1.3
24 4.6 2.7 61 13.0 1.5
25 5.0 1.5 62 14.7 1.8
26 5.2 1.7 63 14.8 2.0
27 5.3 1.5 64 15.4 2.4
28 5.7 1.9 65 15.8 1.3
29 5.8 2.5 66 17.6 2.2
30 6.0 1.8 67 17.7 0.5
31 6.4 2.2 68 18.1 1.9
32 6.6 1.5 69 18.3 1.6
33 6.6 2.0 70 18.4 2.2
34 6.7 1.4 71 21.4 1.7
35 6.8 2.0 72 23.8 1.7
36 7.2 2.0 73 24.2 0.6
37 7.3 2.3 74 25.6 2.0


(b) Find the correlation coefficient. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)
  
r           

(c-1) To test the correlation coefficient for significance at α = 0.1, fill in the following. (Use the rounded value of the correlation coefficient from part b in all calculations. For final answers, round tcalc to 3 decimal places and the p-value to 4 decimal places. Negative values should be indicated by a minus sign.)

tcalc
p-value


(c-2) There is no significant correlation.
  

  • False

  • True



(d) Does it appear that increased loyalty card usage is associated with decreased sales growth?
  

  • Yes

  • No

Next

In: Statistics and Probability