Question : 24.3 Learning Objective 24-3 1) When preparing an income statement showing : 1171235

24.3 Learning Objective 24-3

1) When preparing an income statement showing departmental contribution margin:

A) indirect expenses are combined with direct expenses.

B) indirect departmental expenses are added to contribution margin.

C) direct expenses are subtracted from gross profit of a department.

D) None of these answers is correct.

2) Compute the contribution margin for the video department, when gross profit is $970,000, direct expenses $280,000, and indirect expenses are $190,000.

A) $320,000

B) $690,000

C) $510,000

D) $700,000

3) The PPC department of Ajax shows gross sales of $730,600 for computer supplies and $934,900 for office supplies. The cost of the computer supplies was $534,000 and the cost of the office supplies was $491,400. Direct expenses were $75,200 for the company and indirect expenses were $75,200. What was the contribution margin for the company?

A) $640,100

B) $583,500

C) $489,700

D) $564,900

4) A line on the income statement that indicates what a department has left after covering cost of goods and sold and direct expenses is:

A) the gross margin.

B) the net income.

C) the contribution margin.

D) None of these answers is correct.

5) What is the purpose for determining contribution margin?

A) To show the contribution by department toward covering indirect costs

B) To help determine whether or not to eliminate a department

C) To show the effect on net income for each department

D) All of these answers are correct.

6) Supporters of the contribution margin approach believe that:

A) indirect expenses should be departmentalized.

B) indirect expenses should not be used for evaluating departmental performance.

C) indirect expenses are proportionally charged to each department.

D) direct expenses should not be used in evaluating departmental performance.

7) The cosmetic department experienced the following revenue and expenses during December:

Sales

$86,000

Cost of Goods Sold

30,000

Direct Operating Expenses

9,000

Indirect Operating Expenses

3,000

The cosmetic department’s contribution margin is:

A) $57,000.

B) $44,000.

C) $53,000.

D) $47,000.

8) On a departmental income statement, contribution margin minus total indirect expenses equals:

A) departmental contribution margin.

B) net income.

C) income before taxes.

D) income taxes.

9) On a departmental income statement, sales less cost of goods sold and direct expenses equals:

A) gross margin.

B) income before taxes.

C) indirect expenses.

D) departmental contribution margin.

10) The photography department in a department store experienced the following revenue and expenses during October:

Sales

$23,500

Cost of Goods Sold

8,200

Direct Operating Expenses

2,300

Indirect Operating Expenses

1,000

The photography department’s contribution margin is:

A) $15,300.

B) $20,200.

C) $13,000.

D) $14,300.

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July 1, 2023

Prerequisite:

Read and perform the required exercises. This will help you complete the assignment.

https://thenextweb.com/dd/2015/04/21/the-14-best-data-visualization-tools/

This url list the popular data visualization tools separated into 2 categories: (1) Tools for developers requiring coding and (2) Tools for non-developers that do not require coding. Read and familiarize yourself with the different categories of tools.

https://towardsdatascience.com/a-guide-to-data-visualisation-in-r-for-beginners-ef6d41a34174

This website provides a comprehensive guide to learn Data Visualization using R. Not only should you read the content, I encourage you to read to perform the exercise to familiarize yourself to the R tool. This will help with the Assignment.

Activities:

1. Data Acquisition [10 points]

a. After completing the prerequisite identified above, select a data mining project. This could be a based on the dataset you identified before.

b. Identify the dataset and load and store to your computer.

c. Briefly describe the data acquisition process.

2. Collect Method [10 points]

a. Describe the data collect method.

3. Data Examination [10 points]

a. Examine the dataset and briefly explain your findings

4. Data Transformation [20 points]

a. Perform data transformation techniques such as data cleansing, conversion, creation, and consolidation on the dataset.

b. Record the transformation activities you performed on your dataset.

5. Data Exploration and Presentation [50 points]

a. Decide how you want to present the data. Use the Charts in chapter 6 to help.

b. Using R tool to create the chart of your choice.

Deliverables:

Word file with following:

· Describing the data acquisition

· Collection method

· Data examination process

· Data transformation required

· Chart figure

July 1, 2023

Prerequisite:

Read and perform the required exercises. This will help you complete the assignment.

https://thenextweb.com/dd/2015/04/21/the-14-best-data-visualization-tools/

https://towardsdatascience.com/a-guide-to-data-visualisation-in-r-for-beginners-ef6d41a34174

Activities:

1. Data Acquisition [10 points]

a. After completing the prerequisite identified above, select a data mining project. This could be a based on the dataset you identified before.

b. Identify the dataset and load and store to your computer.

c. Briefly describe the data acquisition process.

2. Collect Method [10 points]

a. Describe the data collect method.

3. Data Examination [10 points]

a. Examine the dataset and briefly explain your findings

4. Data Transformation [20 points]

a. Perform data transformation techniques such as data cleansing, conversion, creation, and consolidation on the dataset.

b. Record the transformation activities you performed on your dataset.

5. Data Exploration and Presentation [50 points]

a. Decide how you want to present the data. Use the Charts in chapter 6 to help.

b. Using R tool to create the chart of your choice.

Deliverables:

Word file with following:

· Describing the data acquisition

· Collection method

· Data examination process

· Data transformation required

· Chart figure

July 1, 2023

Prerequisite:

Read and perform the required exercises. This will help you complete the assignment.

https://thenextweb.com/dd/2015/04/21/the-14-best-data-visualization-tools/

https://towardsdatascience.com/a-guide-to-data-visualisation-in-r-for-beginners-ef6d41a34174

Activities:

1. Data Acquisition [10 points]

a. After completing the prerequisite identified above, select a data mining project. This could be a based on the dataset you identified before.

b. Identify the dataset and load and store to your computer.

c. Briefly describe the data acquisition process.

2. Collect Method [10 points]

a. Describe the data collect method.

3. Data Examination [10 points]

a. Examine the dataset and briefly explain your findings

4. Data Transformation [20 points]

a. Perform data transformation techniques such as data cleansing, conversion, creation, and consolidation on the dataset.

b. Record the transformation activities you performed on your dataset.

5. Data Exploration and Presentation [50 points]

a. Decide how you want to present the data. Use the Charts in chapter 6 to help.

b. Using R tool to create the chart of your choice.

Deliverables:

Word file with following:

· Describing the data acquisition

· Collection method

· Data examination process

· Data transformation required

· Chart figure

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Question : 24.3 Learning Objective 24-3 1) When preparing an income statement showing : 1171235

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