“Super Shoes, Inc. Sales by Product”-Accounting Assignment Solution Sample

QUESTION

Question 1: Formatting and charts (COs 1, 2, & 3; 30 points)

Using the Documentation sheet:

1. Enter your name and today’s date on the Documentation sheet.

Using the ‘Quest 1 & 2’ worksheet:

1. Select the Q1&Q2 sheet, and adjust the widths of the columns as needed.

2. Center the title “Super Shoes, Inc. Sales by Product” across columns A-D, increase the font size to 14 and change the font color to blue.

3. Bold the column headings “Product”, “Unit Price”, “Quantity”, and “Total Sales”.

4. Add formulas to the Total Sales column to calculate the total sales for each product.

5. Add a grand total at the bottom of the Total Sales column, in cell D8.

6. Format the numbers in the Unit Price and Total Sales columns as accounting or currency format with a dollar sign and two decimal places.

7. Create a 3-D column chart on a separate sheet that displays JUST the total sales for each product. (Do not include the grand total in the chart!)

8. Make the title of the chart “Total Sales by Product”.

9. Move the sheet with the column chart immediately after the Q1&Q2 sheet.

10. Rename the chart worksheet “Total Sales Chart”.

11. Save your work (CTRL+s) – (but leave it open to continue).

Question 2: Formulas, applications and Statistical Functions (COs 1, 4 & 9; 25 points)

Using the ‘Quest 1 & 2’ worksheet.

1. On the Q1&Q2 sheet, in cell E8, add a formula using a lookup function that will look up the grand total in cell D8 in the table of “Sales and Bonus” in A10:B13 and display the Bonus percentage. Use a range lookup. (For example, if the grand total in cell D8 was \$15,500, then 5% should be displayed in cell E8.)

2. Format cell E8 as a percentage with zero decimal places.

3. In cell E10 enter the label Highest Sales. In F10 enter a formula using a function to display the highest total sales value for any product.

4. In cell E11 enter the label Lowest Sales. In F11 enter a formula using a function to display the lowest total sales value for any product.

5. In cell E12 enter the label Average Sales. In F12 enter a formula using a function to display the average total sales value for all products.

6. Format the labels and statistics (Highest Sales, Lowest Sales, and Average Sales) to display an outline (exterior border) around these cells for readability.

7. Add a brief comment to cell F10 to point to the highest in sales.

8. Save your work (CTRL+s) – (but leave it open to continue).

Question 3: Data cleansing, lists, sorting, conditional formatting, and pivot tables (COs 1, 4 & 8; 35 points)

Using the ‘Q3’ worksheet.

1. Adjust the widths of the columns so that the contents of each column are visible.

2. Add a new heading “Area Code” in cell I1. Column H contains each customer’s complete phone number. In column I, use the =MID() function to extract and display just the area code including the parentheses.

3. Convert the list of customers into an Excel table.

4. Sort the table into ascending alphabetical order by Last Name.

5. Apply conditional formatting to the State column so that cells containing “Texas” are highlighted in red and cells containing “California” are highlighted in yellow.

6. Convert the table back into a range.

7. Create a pivot table that uses State as the row field, no column field, and the count of Customer ID as the values.

8. Put your pivot table on a new sheet labeled Q3-Pivot and place this sheet immediately after the Q3 sheet.

9. Save your work (CTRL+s) – (but leave it open to continue).

Question 4: Functions and Financials (COs 2, 6, and 7; 35 points)

Using the ‘Q4’ worksheet:

1. Enter formulas in cells B4, B5, and B6 to calculate the total sales, total cost, and net income for a new product line, based on the projected unit sales, unit price, and unit cost provided.
2. Adjust column widths as needed, and format all values except unit sales as currency with no decimal places.
3. Assign the labels in column A as names for the corresponding cells in column B (that is, B1 should be assigned the name Unit_sales, B2 should be assigned the name Unit_price, and so on).
4. Use the Scenario Manager to create three financial scenarios for this product: Most Likely, Best Case, and Worst Case.
• For the Most Likely scenario, unit sales are 50 units, unit price is \$75, and unit cost is \$45.
• For the Best Case scenario, unit sales are 100 units, unit price is \$99, and unit cost is \$40.
• For the Worst Case scenario, unit sales are 30 units, unit price is \$60, and unit cost is \$50.
• For all scenarios, results to calculate are Total sales, Total cost, and Net income.
5. Create a Scenario Summary report sheet showing results for all three scenarios. Name the sheet ‘Scenario Summary’. Place the ‘Scenario Summary’ sheet immediately after the Q4 sheet.

LOAN ANALYSIS

1. Super Shoes wants to apply for a 15-year loan and they need to know how much the monthly payment will be with a \$15,000 down payment or a \$30,000 down payment on a loan of \$175,000. The annual interest rate is 3% and payment is assumed to be made at the end of the period.
2. Complete the chart and calculate the monthly payment, using an Excel function.
3. Secure/Protect, without a password, the Quest 4-Financials worksheet tab.

Question 5: Data consolidation and Analysis (COs 5, 3, 7, &8; 35 points)

Using the ‘Q5’ worksheets:

1. Group the four sheets Q5 New York, Q5 Chicago, Q5 Los Angeles, and Q5 Summary. While the sheets are grouped, bold the labels in row 1 and column A, and format the values in cells B2:E5 as currency with no decimal places.
2. While sheets are grouped add Totals to summarize quarters and products for each region and all regions.
3. Ungroup the worksheets. Select the Q5 – Summary worksheet and use either data consolidate or 3D formulas to summarize the three locations into a total company.
4. The summary sheet should display the totals for each product and quarter over all 3 cities (New York, Chicago, and Los Angeles).
5. Format the Q5 – Summary totals with a single top and double bottom border across row 6 to frame the totals.
6. Create a clustered column chart that shows total sales of each product in each quarter. Each cluster should represent a quarter, and each individual column should represent sales of a product within that quarter. Place your chart on the Q6- Analysis sheet. Give the chart an appropriate title.
7. Add a trend line to the chart to show how sales of cross trainers are changing over time.

Question 6: Analysis Summary and Recommendation (COs 8 & 9; 15 points)

1. In the space provided on the Q6 Analysis sheet, write a brief (2 paragraph) analysis report to the manager of the Super Shoes business. In your report, explain your findings on the trend in sales of cross trainers, and any other patterns you observed in sales of the product categories.
2. In another paragraph, recommend at least one specific action that Super Shoes should take regarding the cross trainers product line.
3. Save your work (CTRL+s) – (but leave it open to continue).

Question 7: Documentation Sheet and Summary (All COs 1 and 9); 25 points)

1. Complete the documentation sheet with the following information:
• Purpose of workbook
• Sheet titles and Descriptions
2. Class Conclusion: Your final conclusion about completing this course and what you learned (1 paragraph).
3. Format the Documentation Sheet so that all information is easily readable and styled.

Documentation

 BIS-155 Final Exam Practical Problems Super Shoes, Inc Name: Julia Cooper Date: 3/3/2019
 Purpose of workbook The workbook highlights the financials and sales position of Super Shoes, Inc. and highlights the trends in the product line over the year. It also recommends the possible course of action for the company for its product.
 Class Conclusion In the class we learned about the basic uses of Excel and how it can support a company in analysing its financials. Excel provides some powerful functions for a company to manage its finance data and understand the trends in its operations. We also saw how we can properly manage and represent data so that it becomes easier for the consumers to understand the data and navigate through the worksheet.
 Sheet titles Descriptions Q1&Q2 Super Shoes, Inc. Sales by Product Total Sales Chart 3D Chart of total sales per product Q3 Customer Details Q3-Pivot Customers per state Q4-Financials Basic Income Statement and EMI analysis Scenario Summary Scenarios for possible income statements Q5 New York Sales details per quarter per product for New York Q5 Chicago Sales details per quarter per product for Chicago Q5 Los Angeles Sales details per quarter per product for Los Angeles Q5 Summary Sales details per quarter per product for the company Q6 – Analysis Findings around sales (majorly cross trainers) and recommendations

Q1&Q2

 Super Shoes, Inc. Sales by Product Product Unit Price Quantity Total Sales Running Shoes \$99.99 57 \$5,699.43 Walking Shoes \$89.99 119 \$10,708.81 Cross Trainers \$69.99 115 \$8,048.85 Hiking Shoes \$74.99 148 \$11,098.52 \$35,555.61 10% Sales Bonus Highest Sales The Highest sales are in Hiking Shoes \$11,098.52 0 None Lowest Sales \$5,699.43 15000 5% Average Sales \$8,888.90 30000 10%

Total sales chart

Q3

 Customer ID Last Name First Name Street Address City State Postal Code Phone Number Area Code 3 Adams Martha 7612 Sommers Crossing El Paso Texas 88558 (514)075-8644 (514) 1 Butler Daniel 7513 Main Avenue Albany New York 12242 (336)572-1779 (336) 8 Cook Larry 53 6th Parkway Memphis Tennessee 38126 (104)748-9720 (104) 12 Cook Charles 88754 Brickson Park Court Des Moines Iowa 50335 (142)690-9166 (142) 17 Fowler Keith 0472 Milwaukee Crossing Fresno California 93709 (893)437-0022 (893) 15 George Diane 7096 Bayside Road Boynton Beach Florida 33436 (760)556-7300 (760) 10 Greene Eric 80281 Golf View Circle Biloxi Mississippi 39534 (148)654-0304 (148) 6 Hawkins Andrew 648 Arkansas Avenue New Orleans Louisiana 70124 (474)032-3827 (474) 14 Howard Dennis 8352 Dennis Plaza Des Moines Iowa 50330 (985)899-2445 (985) 4 King Dorothy 08799 West Alley Tuscaloosa Alabama 35405 (352)656-9412 (352) 7 Moreno Andrea 12 Onsgard Way Tucson Arizona 85725 (862)349-3426 (862) 13 Parker Kenneth 223 Waubesa Avenue Norwalk Connecticut 6859 (301)000-8630 (301) 18 Parker Bobby 4661 Chive Street New York City New York 10004 (991)141-0734 (991) 20 Rogers Dorothy 467 Shopko Point San Diego California 92170 (259)398-9977 (259) 19 Romero Mark 52 Hagan Center Erie Pennsylvania 16505 (477)496-9649 (477) 9 Ross Kenneth 60366 Kennedy Plaza Lafayette Louisiana 70593 (962)670-8039 (962) 5 Wagner Sharon 53228 Killdeer Trail Minneapolis Minnesota 55407 (425)436-3366 (425) 16 Walker Carlos 20 Boyd Crossing Washington District of Columbia 20046 (876)618-8692 (876) 11 Weaver Phillip 29 Green Ridge Junction Lexington Kentucky 40510 (432)393-4362 (432) 2 Williamson Lois 3 Artisan Trail Houston Texas 77218 (074)235-1480 (074)

Q3-Pivot

 State Count of Customer ID Alabama 1 Arizona 1 California 2 Connecticut 1 District of Columbia 1 Florida 1 Iowa 2 Kentucky 1 Louisiana 2 Minnesota 1 Mississippi 1 New York 2 Pennsylvania 1 Tennessee 1 Texas 2 Total Result 20

Q4 Financial

 Net Income Chart Unit sales (quantity) 50 Unit sales price \$75 Unit cost \$45 Total sales \$3,750 Total cost \$2,250 Net income \$1,500
 Payment Function and Analysis (Part F & G) Down Payment Present Value Interest/Period Loan Amount # Periods Payment 15,000 175,000 0.0025 160,000 180 \$1,104.93 30,000 175,000 0.0025 145,000 180 \$1,001.34
 Scenario Summary Current Values: Most Likely Best Case Worst Case Changing Cells: \$B\$2 50 50 100 30 \$B\$3 \$75 \$75 \$99 \$60 \$B\$4 \$45 \$45 \$40 \$50 Result Cells: \$B\$5 \$3,750 \$3,750 \$9,900 \$1,800 \$B\$6 \$2,250 \$2,250 \$4,000 \$1,500 \$B\$7 \$1,500 \$1,500 \$5,900 \$300 Notes: Current Values column represents values of changing cells at time Scenario Summary Report was created. Changing cells for each scenario are highlighted in gray.
 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Running Shoes \$1,015 \$3,672 \$2,544 \$4,229 \$11,460 Walking Shoes \$4,182 \$3,326 \$2,231 \$3,045 \$12,784 Cross Trainers \$4,560 \$3,259 \$4,370 \$2,225 \$14,414 Hiking Shoes \$2,562 \$3,862 \$4,512 \$3,669 \$14,605 \$12,319 \$14,119 \$13,657 \$13,168
 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Running Shoes \$3,884 \$1,188 \$3,994 \$4,219 \$13,285 Walking Shoes \$4,507 \$4,558 \$2,074 \$4,226 \$15,365 Cross Trainers \$4,393 \$3,633 \$1,150 \$2,293 \$11,469 Hiking Shoes \$3,466 \$2,851 \$2,023 \$3,338 \$11,678 \$16,250 \$12,230 \$9,241 \$14,076
 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Running Shoes \$3,781 \$2,593 \$1,976 \$2,137 \$10,487 Walking Shoes \$2,647 \$4,233 \$3,981 \$2,939 \$13,800 Cross Trainers \$3,408 \$2,410 \$4,301 \$2,471 \$12,590 Hiking Shoes \$2,333 \$1,285 \$3,751 \$2,523 \$9,892 \$12,169 \$10,521 \$14,009 \$10,070
 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Running Shoes #NAME? #NAME? #NAME? #NAME? #NAME? Walking Shoes #NAME? #NAME? #NAME? #NAME? #NAME? Cross Trainers #NAME? #NAME? #NAME? #NAME? #NAME? Hiking Shoes #NAME? #NAME? #NAME? #NAME? #NAME? #NAME? #NAME? #NAME? #NAME?
 Analysis and Recommendation The total sales of the company for the year have been \$151,829 out of which \$38,473 have come of cross trainers. However we have seen a decline in the net sales of the product over the four quarters with the specially low sales in the 4th quarter. We have seen the same trend in all the three locations where the company operates, whereas on the other hand, product like the running shoes have seen a rise in the locations. Chicago is an exceptionally poor area where cross trainers are the worst performing products. They were the least selling products in chicago in two out of 4 quarters. When analysed with the data for all the locations this was the situation only for the last quarter for cross trainers. Having said that cross trainers are still the second most selling products and the company needs to increase the marketing expenditure on the product to sell more and make sure that the product does not see a continuous decline in sales for the next year as well. Conpany can also consider removing the product line from Chicago due to their poor performance in that market.

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