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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.
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.
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.
Use this sales tax formula: sales tax = list price x sales tax rate (as a decimal). For example, Sarah is purchasing a refrigerator. The refrigerator is on sale for $1,200 and her sales tax rate ...
A product's average price is the result of dividing the product's total sales revenue by the total units sold. When one product is sold in variants, such as bottle sizes, managers must define "comparable" units. Average prices can be calculated by weighting different unit selling prices by the percentage of unit sales (mix) for each product ...
Normally, however, only a subset is available, and the variance calculated from this is called the sample variance. The variance calculated from a sample is considered an estimate of the full population variance. There are multiple ways to calculate an estimate of the population variance, as discussed in the section below.
Squared deviations from the mean (SDM) result from squaring deviations.In probability theory and statistics, the definition of variance is either the expected value of the SDM (when considering a theoretical distribution) or its average value (for actual experimental data).
The formula brokers use to calculate sales charges and what you’ll pay to invest can include: Net asset value (NAV) of a single fund share. Front-end or back-end load amount.