Search results
Results From The WOW.Com Content Network
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.
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]
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.
The company produced 2000 units of product A during the month. The labor efficiency variance is (4500 - 5000) x $14 = $7000, where 5000 hours = 2.5 hours x 2000 units of output. This variance is favorable since the actual hours used are less than the standard hours allowed.
The accounting department is responsible for the forecasting of budgets and cost performance reports. The difference between the estimated and actual figures is defined as variance. [ 12 ] To understand the cause of the difference, managers need to investigate the questions how the variance differs from last period and what are the causes for ...
The accounting equation plays a significant role as the foundation of the double-entry bookkeeping system. The primary aim of the double-entry system is to keep track of debits and credits and ensure that the sum of these always matches up to the company assets, a calculation carried out by the accounting equation.
In Cost-Volume-Profit Analysis, where it simplifies calculation of net income and, especially, break-even analysis.. Given the contribution margin, a manager can easily compute breakeven and target income sales, and make better decisions about whether to add or subtract a product line, about how to price a product or service, and about how to structure sales commissions or bonuses.
Algorithms for calculating variance play a major role in computational statistics.A key difficulty in the design of good algorithms for this problem is that formulas for the variance may involve sums of squares, which can lead to numerical instability as well as to arithmetic overflow when dealing with large values.