Bandar Industries Berhad of Malaysia manufactures sporting equipment. One of the company's products, a football helmet for the North American market, requires a special plastic. During the quarter ending June 30, the company manufactured 3,700 helmets, using 2,516 kilograms of plastic. The plastic cost the company $19,122. According to the standard cost card, each helmet should require 0.59 kilograms of plastic, at a cost of $8.00 per kilogram. Required: 1. What is the standard quantity of kilograms of plastic (SQ) that is allowed to make 3,700 helmets? 2. What is the standard materials cost allowed (SQ × SP) to make 3,700 helmets? 3. What is the materials spending variance?

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
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### Cost Analysis of Plastic Usage for Sporting Equipment

Bandar Industries Berhad of Malaysia manufactures sporting equipment. One of the company's products, a football helmet for the North American market, requires a special plastic. During the quarter ending June 30, the company manufactured 3,700 helmets, using 2,516 kilograms of plastic. The plastic cost the company $19,122.

According to the standard cost card, each helmet should require 0.59 kilograms of plastic at a cost of $8.00 per kilogram.

### Required Calculations

1. **Standard Quantity of Kilograms of Plastic (SQ) for 3,700 Helmets:**  
   Calculate the total kilograms of plastic allowed based on the standard quantity per helmet.
   
2. **Standard Materials Cost Allowed (SQ × SP) to Make 3,700 Helmets:**  
   Calculate the total standard cost allowed using the standard price (SP) per kilogram.

3. **Materials Spending Variance:**  
   Determine the variance by comparing the actual cost to the standard cost allowed.

4. **Materials Price Variance and Materials Quantity Variance:**  
   Analyze variances due to differences in price or quantity.

**Note:** For requirements 3 and 4, indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect. Input all amounts as positive values. Do not round intermediate calculations.

### Data Table

|   |   |
|---|---|
| **1.**  | **Standard Quantity of Kilograms Allowed**  |  |
| **2.**  | **Standard Cost Allowed for Actual Output**  |  |
| **3.**  | **Materials Spending Variance**  |  |
| **4.**  | **Materials Price Variance**  |  |
| **5.**  | **Materials Quantity Variance**  |  |
Transcribed Image Text:### Cost Analysis of Plastic Usage for Sporting Equipment Bandar Industries Berhad of Malaysia manufactures sporting equipment. One of the company's products, a football helmet for the North American market, requires a special plastic. During the quarter ending June 30, the company manufactured 3,700 helmets, using 2,516 kilograms of plastic. The plastic cost the company $19,122. According to the standard cost card, each helmet should require 0.59 kilograms of plastic at a cost of $8.00 per kilogram. ### Required Calculations 1. **Standard Quantity of Kilograms of Plastic (SQ) for 3,700 Helmets:** Calculate the total kilograms of plastic allowed based on the standard quantity per helmet. 2. **Standard Materials Cost Allowed (SQ × SP) to Make 3,700 Helmets:** Calculate the total standard cost allowed using the standard price (SP) per kilogram. 3. **Materials Spending Variance:** Determine the variance by comparing the actual cost to the standard cost allowed. 4. **Materials Price Variance and Materials Quantity Variance:** Analyze variances due to differences in price or quantity. **Note:** For requirements 3 and 4, indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect. Input all amounts as positive values. Do not round intermediate calculations. ### Data Table | | | |---|---| | **1.** | **Standard Quantity of Kilograms Allowed** | | | **2.** | **Standard Cost Allowed for Actual Output** | | | **3.** | **Materials Spending Variance** | | | **4.** | **Materials Price Variance** | | | **5.** | **Materials Quantity Variance** | |
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