Answer:
The answer is
Dr Warranty Expense $3,520
Cr Estimated Warranty Liability $3,520
Explanation:
Warranty expense is a contingent liability and it is defined as liabilities that may be incurred by a firm or business depending on the outcome of an uncertain future circumstance.
Current sales = $176,000
Warranty expense = $3,520(2% of $176,000).
The rule: Debit increases assets and expenses while credit reduces it.
Credit increases equity(stock), sales(revenue) and liabilities while debit reduces it.
Therefore the period entry is
Dr Warranty Expense $3,520
Cr Estimated Warranty Liability $3,520
Why estimated overhead costs (rather than actual overhead costs) are used in the costing process is explained below.
A predetermined cost is an expenditure that a company estimates ahead of time.
This cost is calculated prior to the purpose of production and includes all variable costs that affect production in a manufacturing business.
Actual overhead costs are difficult to calculate for each job, especially in a production environment with a large number of jobs.
As a result, overhead costs are allocated according to some standardized methods, which may link overhead costs to direct labor, machining time, and material used in each job.
Manufacturing overhead in a manufacturing organization refers to indirect costs that are required for production but cannot be traced back to individual products.
Machine depreciation and factory rental are two examples of manufacturing overhead costs.
Hence, computation of predetermined overhead rates is given above.
Learn more about overhead:
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Answer:
c. $2.0 million for Lopes and by $2.5 million for HomeMax.
Explanation:
For the problem above, the two organizations agreed to work on a particular project because they believed that they will benefit from the outcome of the project. Based on the available information provided in the question, the profit that Lopes will make yearly will increase by $2.0 million while that of HomeMax will increase by $2.5 million.
Answer:
A. 0.684
Explanation:
A seasonal index refers to an index that is used to compare the value for a particular period with the average value of all periods.
The purpose of using a seasonal index is to show the relationship between the two values, and the degree to which the two values are different.
The seasonal index can be calculated as the latest value for a period divided by the average of all periods. Therefore, we have:
Seasonal index for July = Latest value for July / Average demand over all months = 130 / 190 = 0.684.
Therefore, he approximate seasonal index for July is 0.684.
