no the standard deviation is not equal to mean of absolute distance from the mean
The mean of a standard normal distribution is 0.
Standard deviation is the variance from the mean of the data.
How many standard deviations is 16.50 from the mean?
It is mean + 2*standard deviation.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
If "standard" is meant to be standard deviation, the answer is the second.
16.5 is 1 standard deviation from the mean. If you add the mean of 14 to the 1 standard deviation of 2.5, the result is 16.5.
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.
normal standard
no the standard deviation is not equal to mean of absolute distance from the mean
If repeated samples are taken from a population, then they will not have the same mean each time. The mean itself will have some distribution. This will have the same mean as the population mean and the standard deviation of this statistic is the standard deviation of the mean.
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.
Mean and standard deviation are not related in any way.
The mean of a distribution gives no information about the standard deviation.
Standard deviation can be greater than the mean.