They are measures of the spread of the data and constitute one of the key descriptive statistics.
Chat with our AI personalities
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
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.
Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.
Square the standard deviation to obtain the variance. The variance is 62 or 36.
The standard deviation is the square root of the variance.