Questions
Job Costs Using Activity-Based Costing Heitger Company is a job-order costing firm that uses activity-based costing...

Job Costs Using Activity-Based Costing

Heitger Company is a job-order costing firm that uses activity-based costing to apply overhead to jobs. Heitger identified three overhead activities and related drivers. Budgeted information for the year is as follows:

Activity Cost Driver Amount of Driver
Materials handling $54,250 Number of moves 2,500
Engineering 120,700 Number of change orders 8,500
Other overhead 148,500 Direct labor hours 45,000

Heitger worked on four jobs in July. Data are as follows:

Job 13-43 Job 13-44 Job 13-45 Job 13-46
Beginning balance $24,600 $20,000 $3,500 $0
Direct materials $5,500 $10,000 $12,900 $11,400
Direct labor cost $830 $1,080 $1,510 $130
Job 13-43 Job 13-44 Job 13-45 Job 13-46
Number of moves 45 49 30 6
Number of change orders 31 39 15 23
Direct labor hours 830 1,080 1,510 130

By July 31, Jobs 13-43 and 13-44 were completed and sold. Jobs 13-45 and 13-46 were still in process.

Required:

1. Calculate the activity rates for each of the three overhead activities. Round all activity rates to the nearest cent.

Materials handling rate $ per move
Engineering rate $ per change order
Other overhead rate $ per direct labor hour

2. Prepare job-order cost sheets for each job showing all costs through July 31.

When required, round your answers to the nearest dollar. If an amount is zero, enter "0".

Heitger Company
Job-Order Cost Sheets
Job 13-43 Job 13-44 Job 13-45 Job 13-46
Balance, July 1 $ $ $ $
Direct materials
Direct labor cost
Materials handling
Engineering
Other overhead
Total $ $ $ $

3. Calculate the balance in Work in Process on July 31.
$

4. Calculate the cost of goods sold for July.
$

5. What if Job 13-46 required no engineering change orders? What is the difference in the new cost of Job 13-46?

$   

How would the cost of the other jobs be affected?

In: Accounting

Given the following information on a 30-year fixed-payment fully amortizing loan, determine the owner’s equity in...

Given the following information on a 30-year fixed-payment fully amortizing loan, determine the owner’s equity in the property after seven years if the market value of the property is $240,000 at the end of year 7: rate: 7%; monthly payment: $1,200.

In: Finance

goal Find the average of the elements in the list (list could have any number of...

goal Find the average of the elements in the list (list could have any number of elements).
If the average is a decimal number, return only the integer part. Example: if average=10.8, return 10
Example: if list={10, 20, 30, 40, 50}, the method should return: 30

import java.io.*;
import java.util.Scanner;

class Node {
int data;
Node next;
Node(int d){ // Constructor
   data = d;
   next = null;
}
}

class LinkedList {// a Singly Linked List
   Node head; // head of list
   public void insert(int data){ // Method to insert a new node
       Node new_node = new Node(data); // Create a new node with given data
       new_node.next = null;
       if (head == null) // If the Linked List is empty, then make the new node as head
           head = new_node;
       else {// Else traverse till the last node and insert the new_node there
           Node last = head;
           while (last.next != null)
               last = last.next;
           last.next = new_node; // Insert the new_node at last node
       }
   }
}

class Main {
public static void main(String[] args)
   {
       LinkedList list = new LinkedList();/* Start with the empty list. */
       Scanner scan = new Scanner(System.in);
       int num;
       for (int i=0; i<10; i++){//Read list values
           num = scan.nextInt();
           list.insert(num);
       }
System.out.println(""+getAvg(list));
   }

   
public static int getAvg(LinkedList list) {
       //goal Find the average of the elements in the list (list could have any number of elements).
      
       //If the average is a decimal number, return only the integer part. Example: if average=10.8, return 10
       //Example: if list={10, 20, 30, 40, 50}, the method should return: 30

      
   }

}

In: Computer Science

An investigator analyzed the leading digits from 796796 checks issued by seven suspect companies. The frequencies...

An investigator analyzed the leading digits from

796796

checks issued by seven suspect companies. The frequencies were found to be

55​,

1818​,

00​,

8989​,

224224​,

412412​,

88​,

1717​,

and

2323​,

and those digits correspond to the leading digits of​ 1, 2,​ 3, 4,​ 5, 6,​ 7, 8, and​ 9, respectively. If the observed frequencies are substantially different from the frequencies expected with​ Benford's law shown​ below, the check amounts appear to result from fraud. Use a

0.0250.025

significance level to test for​ goodness-of-fit with​Benford's law. Does it appear that the checks are the result of​ fraud?

Leading Digit

1

2

3

4

5

6

7

8

9

Actual Frequency

55

1818

00

8989

224224

412412

88

1717

2323

​Benford's Law: Distribution of Leading Digits

​30.1%

​17.6%

​12.5%

​9.7%

​7.9%

​6.7%

​5.8%

​5.1%

​4.6%

Determine the null and alternative hypotheses.

Upper H 0H0​:

The leading digits are from a population that conforms to Benford's law.

Upper H 1H1​:

At least one leading digit has a frequency that does not conform to Benford's law.

Calculate the test​ statistic,

chi squaredχ2.

chi squaredχ2equals=nothing

​(Round to three decimal places as​ needed.)

Enter your answer in the answer box and then click Check Answer.

In: Statistics and Probability

match each subsidiary ledger and general ledger post one on each description

match each subsidiary ledger and general ledger post one on each description

In: Accounting

Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...

Consider the following time series data:

Month 1 2 3 4 5 6 7
Value 23 15 20 12 18 22 15
(a) Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1
What type of pattern exists in the data?
- Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2
(b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(d) Compare the three-month moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?
- Select your answer -3-month moving average exponential smoothingItem 7
(e) Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE.
If required, round your answer to two decimal places.
α =  

In: Statistics and Probability

The Attaran Corporation manufactures two electrical​ products: portable air conditioners and portable heaters. The assembly process...

The Attaran Corporation manufactures two electrical​ products: portable air conditioners and portable heaters. The assembly process for each is similar in that both require a certain amount of wiring and drilling. Each air conditioner takes 3 hours of wiring and 2 hours of drilling. Each heater must go through 2 hours of wiring and 1 hour of drilling. During the next production​ period, 240 hours of wiring time are available and up to 130 hours of drilling time may be used. Each air conditioner sold yields a profit of ​$20. Each heater assembled may be sold for a ​$16 profit.

Number of air conditioners to be produced​ =_____ ​(round your response to two decimal​ places).
Number of heaters to be produced​ = _______​(round your response to two decimal​ places).
Optimal solution value​ = _______​(round your response to two decimal​ places).

In: Operations Management

1. The slope coefficient for a regression of Y on X is

Consider the data in the table below.

YX
58
105
55
49
19
69
105
95
27
98

Answer the following questions to two decimal places.

1. The slope coefficient for a regression of Y on X is

2. The constant of a regression of Y on X is

3. The residual for the first observation in the table is

4. The correlation of the residuals and X is

In: Finance

** Use R for the following analysis. Use the BoneAcid.xlsx data to check what is causing...

** Use R for the following analysis.

Use the BoneAcid.xlsx data to check what is causing the variation in the acid content in bones among 42 male skeletons from 2 cemeteries. The independent variables included are internment lengths, ages, depths, lime addition and contamination in soil.

Variables/Columns

Burial Site   (1 or 2)

Internment Time (Years)

Burial Depth (feet)   

LimeAdded (at internment) (1=Yes, 0=No)

Death_Age (Age of Person at the time of death)

Acid Level (g/100g of bone)

Contamination (In soil) (1=Yes, 0=No)  

1. Undertake appropriate basic data analytics to motivate the regression model Use dummy variables for each of Burial Site, LimeAdded, and Contamination (If required create the dummy-variables for each).

2. Do you suspect any multicollinearity problem could affect the regression coefficients?

3. Run a regression model of the Acid Level on all independent variables provided and interpret all regression coefficients.

4. Briefly describe what you need to do before conducting any hypothesis testing when you find evidence of heteroscedasticity in an OLS regression model? Test for heteroscedasticity to check for evidence of heteroscedasticity in part 3

5. Test the hypothesis that

i. Beta_InternmentTime < -0.00675

ii. Jointly Beta_BurialSite = Beta_BurialDepth =Beta_LimeAdded=0

6, What is the best model specification that would explain acid content in bones better?

Burial Site

InternmentTime

Baurial Depth

LimeAdded

Death_Age

Contamination

Acid Level

1

88.5

7

1

34

1

3.88

1

88.5

7

1

38

1

4

1

85.2

7

1

27

1

3.69

1

71.8

7.6

1

26

0

3.88

1

70.6

7.5

1

42

0

3.53

1

68

7

1

28

0

3.93

1

71.6

8

1

35

0

3.88

1

70.2

6

1

44

0

3.64

1

55.5

6

0

29

0

3.97

1

36.5

6.5

0

29

0

3.85

1

36.3

6.5

0

48

0

3.96

1

46.5

6.5

0

35

0

3.69

1

35.9

6.5

0

40

0

3.76

1

45.5

6.5

0

34

0

3.75

1

43

6.5

0

38

0

3.75

1

44.9

6.5

0

27

0

3.92

1

59.5

8

0

26

0

3.76

1

58.3

8

0

23

0

3.93

1

56.5

8

0

35

0

3.7

1

56.3

8

0

23

0

3.82

1

43

6.5

0

40

0

3.78

1

42.5

9

0

31

0

4

1

29

7.5

0

31

0

3.92

1

35.3

8.5

0

39

0

3.79

2

93.6

4

1

39

0

3.49

2

90

4

1

43

0

3.57

2

88

5.5

1

26

0

3.43

2

84.4

5

1

47

0

3.55

2

84

4.75

1

39

0

3.5

2

79.7

4.75

1

27

0

3.27

2

67.4

4.5

1

39

0

3.66

2

64.7

5

1

27

0

3.9

2

64.7

5.5

1

35

1

3.91

2

38.3

7

0

21

0

3.73

2

59.6

9.25

0

46

0

3.72

2

32

9

0

24

0

3.85

2

32.2

9

0

27

0

3.85

2

26.5

7

0

34

0

4.06

2

34.7

8.5

0

30

0

4.04

2

27.6

6

0

22

0

4

2

35.7

9

0

19

0

3.93

2

49.6

9

0

50

0

3.85

In: Statistics and Probability

Analysis of Financial Statements: Tying the Ratios Together The DuPont equation shows the relationships among asset...

Analysis of Financial Statements: Tying the Ratios Together

The DuPont equation shows the relationships among asset management, debt management, and -Select-liquiditymarketprofitabilityCorrect 1 of Item 1  ratios. Management can use the DuPont equation to analyze ways of improving the firm's performance.

Ratio analysis is important to understand and interpret financial statements; however, sound financial analysis involves more than just calculating and interpreting numbers.

-Select-QuantitativeQualitativeForeignCorrect 2 of Item 1  

factors also need to be considered.

Quantitative Problem: Rosnan Industries' 2018 and 2017 balance sheets and income statements are shown below.

Balance Sheets:
2018 2017
Cash and equivalents $80   $65  
Accounts receivable 275   300  
Inventories 375   350  
      Total current assets $730   $715  
Net plant and equipment 2,000   1,490  
Total assets $2,730   $2,205  
Accounts payable $150   $85  
Accruals 75   50  
Notes payable 130   155  
      Total current liabilities $355   $290  
Long-term debt 450   290  
Common stock 1,225   1,225  
Retained earnings 700   400  
Total liabilities and equity $2,730   $2,205  


Income Statements:
2018 2017
Sales $2,000   $1,500  
Operating costs excluding depreciation 1,250   1,000  
EBITDA $750   $500  
Depreciation and amortization 100   75  
EBIT $650   $425  
Interest 62   45  
EBT $588   $380  
Taxes (40%) 235   152  
Net income $353   $228  
Dividends paid $53   $48  
Addition to retained earnings $300   $180  
Shares outstanding 100   100  
Price $25.00   $22.50  
WACC 10.00%     

What is the firm’s 2018 current ratio? Round your answer to two decimal places.

If the industry average debt-to-total-assets ratio is 30%, then Rosnan’s creditors have a -Select-smallerbiggerCorrect 1 of Item 3  cushion than indicated by the industry average.

What is the firm’s 2018 net profit margin? Round your answer to four decimal places.
%

If the industry average profit margin is 12%, then Rosnan’s lower than average debt-to-total-assets ratio might be one reason for its high profit margin.
-Select-TrueFalseCorrect 1 of Item 4

What is the firm’s 2018 price/earnings ratio? Round your answer to two decimal places.

Using the DuPont equation, what is the firm’s 2018 ROE? Round your answer to two decimal places.
%

In: Finance