The more precise a result, the smaller will be the standard deviation of the data the result is based upon.
Standard error is a measure of precision.
No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
Standard deviation is a measure of variation from the mean of a data set. 1 standard deviation from the mean (which is usually + and - from mean) contains 68% of the data.
Standard deviation gives a measure of precision, not accuracy. It quantifies the amount of variation or dispersion of a set of data points around the mean. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are to each other.
Units of measure do follow the standard deviation.
Standard deviation is a measure of the spread of data.
The more precise a result, the smaller will be the standard deviation of the data the result is based upon.
The Coefficient of Variation (CV) is commonly used as an index of precision. It is a measure of relative variability that expresses the standard deviation as a percentage of the mean. A lower CV indicates higher precision and vice versa.
The standard deviation is a measure of the spread of data.
Standard error is a measure of precision.
No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
The standard deviation is a measure of how spread out the numbers are. Three points is needed to calculate a statistically valid meaningful standard deviation.
Standard deviation is a measure of variation from the mean of a data set. 1 standard deviation from the mean (which is usually + and - from mean) contains 68% of the data.