34.1% with the normal distribution.
Standard deviation is the variance from the mean of the data.
The mean is the average value and the standard deviation is the variation from the mean value.
100 x (standard deviation/mean)
The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,
It is 95%
Standard deviation is the variance from the mean of the data.
4.55% falls outside the mean at 2 standard deviation
The mean is the average value and the standard deviation is the variation from the mean value.
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.
The area between the mean and 1 standard deviation above or below the mean is about 0.3413 or 34.13%
100 x (standard deviation/mean)
Information is not sufficient to find mean deviation and standard deviation.
no
34.1% of the data values fall between (mean-1sd) and the mean.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,