A term suggesting a threshold exist where a monetary or some other consideration finds harmony and balance with a manifestation that facilitates the process of exchange...
The mean is the average value and the standard deviation is the variation from the mean value.
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
No. The expected value is the mean!
The standard deviation.z-score of a value=(that value minus the mean)/(standard deviation)
No. The standard deviation is not exactly a value but rather how far a score deviates from the mean.
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.
For a sample of data it is a measure of the spread of the observations about their mean value.
z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation)
The standard deviation.
T scores are also standardized norm scores, where the mean value is 50 and standard deviation value is 10, in contrast to Z scores where mean value is "0" and standard deviation value is 1. -Rama Reddy Karri