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Variance analysis, in budgeting or management accounting in general, is a tool of budgetary control and performance evaluation, assessing any variances between the budgeted, planned, or standard amount, and the actual amount realized. Variance analysis can be carried out for both costs and revenues.
There are two reasons actual sales can vary from planned sales: either the volume sold varied from the expected quantity, known as sales volume variance, or the price point at which units were sold differed from the expected price points, known as sales price variance. Both scenarios could also simultaneously contribute to the variance.
An important part of standard cost accounting is a variance analysis, which breaks down the variation between actual cost and standard costs into various components (volume variation, material cost variation, labor cost variation, etc.) so managers can understand why costs were different from what was planned and take appropriate action to ...
Price variance (Vmp) is a term used in cost accounting which denotes the difference between the expected cost of an item (standard cost) and the actual cost at the time of purchase. [1] The price of an item is often affected by the quantity of items ordered, and this is taken into consideration.
Consequently, it does not suit to analysis. The productivity model Saari is purely based on variance accounting known from the standard cost accounting. The variance accounting is applied to elementary variables, that is, to quantities and prices of different products and inputs. Variance accounting gives the user most possibilities for analysis.
Variance may also refer to: Variance (accounting), the difference between a budgeted, planned or standard cost and the actual amount incurred/sold; Variance Films, a film distribution company founded in 2008; Variance (land use), a deviation from the set of rules a municipality applies to land use and land development
Image source: The Motley Fool. Coinbase Global (NASDAQ: COIN) Q4 2024 Earnings Call Feb 13, 2025, 5:30 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants
Firstly, if the true population mean is unknown, then the sample variance (which uses the sample mean in place of the true mean) is a biased estimator: it underestimates the variance by a factor of (n − 1) / n; correcting this factor, resulting in the sum of squared deviations about the sample mean divided by n-1 instead of n, is called ...