I believe you are interested in calculating the variance from a set of data related to salaries. Variance = square of the standard deviation, where: s= square root[sum (xi- mean)2/(n-1)] where mean of the set is the sum of all data divided by the number in the sample. X of i is a single data point (single salary). If instead of a sample of data, you have the entire population of size N, substitute N for n-1 in the above equation. You may find more information on the interpretation of variance, by searching wikipedia under variance and standard deviation. I note that an advantage of using the standard deviation rather than variance, is because the standard deviation will be in the same units as the mean.
actual budget/budget = variance%
your salary and someone else's salary
In a study using 9 samples, and in which the population variance is unknown, the distribution that should be used to calculate confidence intervals is
This years' sales plus last years' sales divided by 2
(Actual Effort -Planned Effort)/Planned Effort * 100
how to calculate budget variance percentage?
variance - covariance - how to calculate and its uses
actual budget/budget = variance%
your salary and someone else's salary
Variance = 100*(Actual - Budget)/Budget
Square the standard deviation and you will have the variance.
How do we calculate variance
Standard deviation = square root of variance.
There only needs to be one data point to calculate variance.
The standard deviation is the square root of the variance. So, if variance = 03 = 3 the std dev = sqrt(3) = 1.732
look in a maths dictionary
First we need to calculate within and between family variance components for half sib families. Additive variance is equal to 4 time the additive variance and Dominance variance equal to within family variance - (3/4) additive variance.