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Ilya [14]
3 years ago
7

The management of Bullinger Corporation would like to investigate the possibility of basing its predetermined overhead rate on a

ctivity at capacity. The company's controller has provided an example to illustrate how this new system would work. In this example, the allocation base is machine-hours and the estimated amount of the allocation base for the upcoming year is 26,000 machine-hours. Capacity is 29,000 machine-hours and the actual level of activity for the year is assumed to be 24,700 machine-hours. All of the manufacturing overhead is fixed and both the estimated amount at the beginning of the year and the actual amount at the end of the year are assumed to be $34,840.00 per year. For simplicity, it is assumed that this is the estimated manufacturing overhead for the year as well as the manufacturing overhead at capacity. It is further assumed that this is also the actual amount of manufacturing overhead for the year. If the company bases its predetermined overhead rate on capacity, what would be the cost of unused capacity reported on the income statement prepared for internal management purposes
Business
1 answer:
Anit [1.1K]3 years ago
4 0

Answer:

$5,160

Explanation:

Predetermined Overhead Rate on Capacity = Total Estimated Manufacturing Overhead / Estimated Capacity for the Year

Predetermined Overhead Rate on Capacity = $34,840 / 29,000 MH

Predetermined Overhead Rate on Capacity = $1.20 MH

Actual use of capacity = 24,700 hours

Unused hours = 29,000 hours - 24,700 hours

Unused hours = 4,300 hour

Cost of unused capacity = 4,300 hours * $1.20 MH

Cost of unused capacity = $5,160

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Answer:

11.611 +/- 3.013

Explanation:

3     3.5     4       6        7          8        8.5        12.5       15

7      17      19      12       19       22       28         20         28

difference

4      13.5    15     6       12        14        19.5        7.5         13

mean = 11.611

the standard deviation ⇒ 7.611² + 1.889² + 3.389² + 5.611² + 0.389² + 2.389² - 7.889² + 4.111² + 1.389² = 57.927 + 3.568 + 11.485 + 31.483 + 0.151 + 5.707 + 62.236 + 16.9 + 1.929 = 191.386/9 = √21.265 = 4.611

standard deviation = 4.611  1.918

confidence interval = mean +/- [(standard deviation/√9) x 1.96]

11.611 + [(4.611/3) x 1.96] = 11.611 + 3.013

11.611 - [(4.611/3) x 1.96] = 11.611 - 3.013

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