answersLogoWhite

0


Best Answer

You want some measure of how the observations are spread about the mean. If you used the deviations their sum would be zero which would provide no useful information. You could use absolute deviations instead.

The sum of squared deviations turns out to have some useful statistical properties including a relatively simple way of calculating it. For example, the Gaussian (or Normal) distribution is completely defined by its mean and variance.

User Avatar

Wiki User

14y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: When computing the sample variance the sum of squared deviations about the mean is used for what reason?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Math & Arithmetic

Why do scientific notation needs computing?

For the same reason that numbers in ordinary notation need computing.


When computing Standard deviation should you eliminate the extreme values?

Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.


What does squard mean in math?

Squared, not squard, means multiplied by itself. The reason is that the area of a square, with sides of length, s is s*s: the side length multiplied by itself. So, for example, 3.5 squared = 3.5*3.5 = 12.25 3.5 squared can also be written as 3.52.


What is variance?

In most production management systems, a "Planned" quantity and material cost is calculated based on the associated Bill of Materials (BOM) and Operatons being performed (Route) creating labor and overhead related costs. The "Actual" quantities, material costs, and labor/overhead costs are issued to a Work in Process (WIP) account and the quantities/values of the produced items are recieved from the WIP account. A variance usually occurs when there is a difference between the issued material cost plus labor and overhead and the recieved material cost of the produced item. The reasons for these variances can be differences in planned vs actual quantities, differences in system or planned cost of materials, labor, or overhead vs actual cost, or any other potential reason for an unplanned difference.


Which area is greater a rectangle that is 9 feet by 4 feet or a square that measures 10 feet on the side?

The square. Reason : 10 feet X 10 feet = 100 feet squared (square) 9 feet X 4 feet = 36 feet squared (rectangle)

Related questions

Can the standard deviation or variance be negative?

No, a standard deviation or variance does not have a negative sign. The reason for this is that the deviations from the mean are squared in the formula. Deviations are squared to get rid of signs. In Absolute mean deviation, sum of the deviations is taken ignoring the signs, but there is no justification for doing so. (deviations are not squared here)


Something at variance with reason or manifestly false?

ABSURDITY


Reason for computing an index?

to organize similar data


Is there a professional cloud computing business in Denver?

With the advent of Cloud Computing, there is no more reason for you computing for individual users can be hosted in a professional data center instead of on a desk.


Why do scientific notation needs computing?

For the same reason that numbers in ordinary notation need computing.


Reason for appling for a computing course?

You need a job at the end of it?


Why would a favorable price variance for material might be the cause of unfavorable quantity variance?

A favorable/unfavorable price variance does not effect your quantity variance. The reason you would see a favorable price variance and an unfavorable quantity variance is because you consumed more materials than your standard allows AND the price you paid for those material was less than your standard price. If you paid more than your standard price, you would have experienced an unfavorable variance in both quantity and price.


When computing Standard deviation should you eliminate the extreme values?

Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.


What is the Sum of deviation from the mean is?

The sum of deviations from the mean, for any set of numbers, is always zero. For this reason it is quite useless.


What is the reason for multiplying the sales quantity variance by the budgeted sales price even if the actual sales volume was sold at a different price?

for profit.........


Are the units of volume cubed or squared why?

Cubed. The reason is that space has three dimensions - and that is basically what we are measuring.


Does the variance provide a succinct summary of raw data?

Your question is a bit difficult to answer, as "succinct" is usually a quality in reference to a description or explanation. It is defined by Webster's dictionary as "marked by compact precise expression without wasted words." See related link. For this reason, I have reworded your question as follows: Does the variance fully describe or summarize the raw data? The answer is no. For any set of data, many statistical measures can be calculated, including the mean and variance. The variance or more commonly the square of the variance (standard deviation) is a very useful in identifying the dispersion of data, but is incomplete in fully describing the data. The mean is also important. Graphs can improve the summarization of data in a more visual manner.