The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.
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Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.
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.
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
Yes. Since the standard deviation is defined as the square root of the variance, it can be said that the higher the standard deviation, the higher the variance.