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No, the volume variance is controllable but not related to spending. The volume variance calculates the dollar impact of producing more or less than the budgeted production volume. No, the volume variance is controllable but not related to spending. The volume variance calculates the dollar impact of producing more or less than the budgeted production volume.
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What are 5 pysiacal properties?
mass, volume, density, melting point, boiling point
What is the function of the exclamation point?
To indicate strong feelings or a loud volume and the end of the sentence!
Why is it important to determine the contribution point?
Once the contribution margin is determined, it can be used to calculate the break-even point in volume of units or in total sales dollars.
In geometric what is a point?
A point in geometry is very similar to the common usage of the noun "point." However it must be noted that points have zero mass, zero volume, zero area, etc.; they simply denote locations in space.
How would you find the volume of a glass of water?
you carefully poor the water into a graduated cylinder and meassure at the lowest point of the meniscus.
How many cases are needed for analysis of variance?
There only needs to be one data point to calculate variance.
What is the principal argument for deficit spending?
Principal argument for deficit spending is the central point of controversy in economics.
Can the variance be zero?
Variance is standard deviation squared. If standard deviation can be zero then the variance can obviously be zero because zero squared is still zero. The standard deviation is equal to the sum of the squares of each data point in your data set minus the mean, all that over n. The idea is that if all of your data points are the same then the mean will be the same as every data point. If the mean is the equal to every data point then the square of each point minus the mean would be zero. All of the squared values added up would still be zero. And zero divided by n is still zero. In this case the standard deviation would be zero. Short story short: if all of the points in a data set are equal than the variance will be zero. Yes the variance can be zero.
How would you describe a variance?
A variance is a statistical measure that quantifies the spread or dispersion of data points in a dataset. It indicates how much each data point differs from the mean of the dataset. A higher variance value suggests a wider spread of data points, while a lower variance value indicates a more clustered data distribution.
Can the variance be a negative number?
First, we compute the variance by taking the sum of squares and divide that by N which is the number of data points in the same. It is average squared deviation of each number from its mean. The point is a squared number is always positive and N is always positive so the variance must always be non-negative. ( It can be 0). The variance is a measure of the dispersion of a set of data points around their mean value. It would not make sense for it to be negative.
At which point will the government maintain spending and taxes at their current rate?
when the economy is stable
A volume or partition can be attached to a mount point on any other volume or partition?
True
Can a volume or partition be attached to a mount point on any other volume or patitions?
true
What substance is affected by a boiling point?
The substances volume is affected by a boiling point
Is Singapore limited or unlimited government?
Indonesia government spending to GDP is 18% (lowest among G20). From spending and tax point of view is limited.
How do you calculate salary variance?
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.
What is Reciprocal Dispersion?
Reciprocal dispersion is a statistical measure used to assess the variability of values around their reciprocal. It is calculated by taking the reciprocal of each data point, calculating the variance of these values, and then obtaining the reciprocal of that variance. It is helpful in certain mathematical and statistical analyses to understand the dispersion of data.
