Averaging the deviations of individual data values from their mean would always result in zero, since the mean is the point at which the sum of deviations is balanced. This occurs because positive and negative deviations cancel each other out. Instead, measures like variance and standard deviation are used, which square the deviations to ensure all values contribute positively, providing a meaningful representation of spread around the mean.
The z-score of a value indicates how many standard deviations it is from the mean. If a value is 2.08 standard deviations greater than the mean, its z-score is simply 2.08. This means the value lies 2.08 standard deviations above the average of the dataset.
A running or linear foot is simply a measure of distance. The measure is more commonly known simply as a foot.
If you simply added the deviations, their sum would always be zero. The derived statistic would not add any information. Essentially, the choice was between summing the absolute values or taking the square root of the squares. The latter has some very useful statistical properties.
The sum of one angle is simply the measure of that angle.
The covariance between two variables is simply the average product of the values of two variables that have been expressed as deviations from their respective means. ------------------------------------------------------------------------------------------------- A worked example may be referenced at: http://math.info/Statistics/Covariance
The z-score of a value indicates how many standard deviations it is from the mean. If a value is 2.08 standard deviations greater than the mean, its z-score is simply 2.08. This means the value lies 2.08 standard deviations above the average of the dataset.
No, you do not need to know the individual masses of the samples of water and salt to measure the change in mass when they are mixed. You can simply measure the mass of the mixture before and after mixing to determine the change in mass.
A running or linear foot is simply a measure of distance. The measure is more commonly known simply as a foot.
Simply measure it.
simply units....
If you simply added the deviations, their sum would always be zero. The derived statistic would not add any information. Essentially, the choice was between summing the absolute values or taking the square root of the squares. The latter has some very useful statistical properties.
An Intelligence Quotient or IQ is a measure of an individual's intelligence, derived from a test that relies heavily on logical thinking, which may also include other elements in certain variations (such as simple philosophy). Simply, the IQ score is a quotient of an individual's mental age. The vladity of the IQ test is often questioned because of it's failure to account adequately for minds that think abstractly, as well as for it's reliance on time-keeping as a measure to test the individual's intelligence.
There is no formula for inches. It is simply a measure of length.
Basically, that MINOR deviations/technicalities should not allow a guilty person to go free, simply because someone forgot to "dot an i or cross a t."
Because this computation attempts to calculate the average book value of an investment by simply averaging the initial and liquidation values.
You simply measure its volume, in litres.
Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service. For the source and more detailed information concerning this request, click on the related links section (Six Sigma) indicated below this answer box.