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Sales volume variance can be considered favorable or unfavorable. Causes of sales volume variance include changes in competition and sales prices, changes in consumer desires (i.e. fashion trends over time), and impositions or removals of government trade restrictions. [2]
Variance analysis can be carried out for both costs and revenues. Variance analysis is usually associated with explaining the difference (or variance) between actual costs and the standard costs allowed for the good output. For example, the difference in materials costs can be divided into a materials price variance and a materials usage variance.
Cost–volume–profit (CVP), in managerial economics, is a form of cost accounting. It is a simplified model, useful for elementary instruction and for short-run decisions. It is a simplified model, useful for elementary instruction and for short-run decisions.
Realized variance or realised variance (RV, see spelling differences) is the sum of squared returns. For instance the RV can be the sum of squared daily returns for a ...
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 ...
or as the ratio of gross profit to revenue, usually as a percentage: = % Cost of sales, also denominated "cost of goods sold" (COGS), includes variable costs and fixed costs directly related to the sale, e.g., material costs, labor, supplier profit, shipping-in costs (cost of transporting the product to the point of sale, as opposed to shipping ...
The general formula for variance decomposition or the law of total variance is: If and are two random variables, and the ...
This algorithm can easily be adapted to compute the variance of a finite population: simply divide by n instead of n − 1 on the last line.. Because SumSq and (Sum×Sum)/n can be very similar numbers, cancellation can lead to the precision of the result to be much less than the inherent precision of the floating-point arithmetic used to perform the computation.