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Data Collection and Adjustment Issues Homework Help

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Know Calculations of Cost Functions with Data Collection and Adjustment Issues Assignment Help

This is a process specifically associated with measuring and gathering of information within a specialized system, allowing a person to answer research based queries, hypothesis as well as results associated with it.

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What are the characteristics of ideal data base? There are two characteristics for estimating cost functions quantitatively-

  • The database should comprise many consistently measured clarifications of the cost driver as well as the associated costs. Mistakes in determining the cost drivers are serious. They end in imprecise estimates of the consequence of the cost driver on costs.
  • The database should think through for the cost driver several values across a wide variety. Using a few morals of the cost driver that are collected closely deliberates too small a section of the applicable range and decreases the confidence in the evaluations obtained.

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What are the adjustment issues?

Inappropriately, cost analysts usually do not have the benefit of functioning with a data-base taking both the mentioned characteristics.

Our experts cover the entire related topic and ensure quality content for your assignments. Prefer our data collection and adjustment issues homework help and get your homework done by the experts. Let’s discuss some regularly faced data problems plus steps the cost analyst can take to deal with these problems.

  • The time required for determining the variable which is dependent does not appropriately equal to the period for determining the cost driver. This issue frequently stands up when accounting records are not maintained on accrual The analyst should use accrual accounting to measure intake of machine lubricants to better match costs by means of the cost drivers.

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  • Fixed costs are apportioned as if they are flexible. For instance, costs like insurance, rent or depreciation may be apportioned to products to determine rate per unit of output. The threat here is that these costs as variable somewhat than as static. They appear to be flexible because of the technique of allocation used. To evade the said problem, the analyst should differentiate sensibly fixed costs from variable costs plus should not treat apportioned fixed cost per unit such as a variable cost.

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  • Data are moreover not accessible for all observations or else are not consistently consistent. Lost cost observations frequently stand up from a letdown to record a cost otherwise from categorizing a cost inaccurately. Errors also rise when data on cost drivers create other than the internal accounting system. To reduce these problems, the analyst should project data collection information that frequently and normally obtain the essential data and should follow up instantly each time data are missing.

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