A negative deviation means that the observation is smaller than whatever it is that the deviation is being measured from.
Difference between the actual and planned for a effort is known as effort deviation.
The mean deviation of a set of observations is always zero and so conveys no information whatsoever!
It means departure from a standard, or norm
Deviation means departing from traditional pathways. Here are some sentences.His deviation from the road made us get lost.She got into trouble for her deviation from the truth.My deviation from good sense caused me to make a foolish decision.
It means that the distribution is packed close to the mean.
A large standard deviation means that the data were spread out. It is relative whether or not you consider a standard deviation to be "large" or not, but a larger standard deviation always means that the data is more spread out than a smaller one. For example, if the mean was 60, and the standard deviation was 1, then this is a small standard deviation. The data is not spread out and a score of 74 or 43 would be highly unlikely, almost impossible. However, if the mean was 60 and the standard deviation was 20, then this would be a large standard deviation. The data is spread out more and a score of 74 or 43 wouldn't be odd or unusual at all.
A low standard deviation would mean that there is not much variation from the mean value of the data.
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
There are a few characteristics of standard deviation. Standard deviation means that something is predictably doing something other than what it typically does. One characteristic is that it is frequent.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.