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Because the average deviation will always be zero.
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
Standard deviation is a measure of how spread out a set of numbers are from each other. It has a variety of uses in statistics.
The standard deviation of the population. the standard deviation of the population.
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beta
use this link http://www.ltcconline.net/greenl/Courses/201/probdist/zScore.htm Say you start with 1000 observations from a standard normal distribution. Then the mean is 0 and the standard deviation is 1, ignoring sample error. If you multiply every observation by Beta and add Alpha, then the new results will have a mean of Alpha and a standard deviation of Beta. Or, do the reverse. Start with a normal distribution with mean Alpha and standard deviation Beta. Subtract Alpha from all observations and divide by Beta and you wind up with the standard normal distribution.
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
Because the average deviation will always be zero.
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
Standard deviation is a measure of total risk, or both systematic and unsystematic risk. Unsystematic risk can be diversified away, systematic risk cannot and is measured as Beta.
Standard deviation is a measure of how spread out a set of numbers are from each other. It has a variety of uses in statistics.
The standard deviation is the standard deviation! Its calculation requires no assumption.
The standard deviation of the population. the standard deviation of the population.
The goal is to disregard the influence of sample size. When calculating Cohen's d, we use the standard deviation in teh denominator, not the standard error.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.