The SD is the (positive) square root of the variance.
Standard deviation = square root of variance.
False. The standard deviation of a set is the square root of the variance, so it is not always smaller; in fact, it is always less than or equal to the variance when the variance is positive. The standard deviation can be equal to the variance only when the variance is 1 (since the square root of 1 is 1).
Standard deviation = square root of variance.
If the variance is 846, then the standard deviation is 29.1, the square root of 846.
No. The standard deviation is the square root of the variance.
Standard deviation is the square root of the variance.
The SD is the (positive) square root of the variance.
Standard deviation = square root of variance.
No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.
False. The standard deviation of a set is the square root of the variance, so it is not always smaller; in fact, it is always less than or equal to the variance when the variance is positive. The standard deviation can be equal to the variance only when the variance is 1 (since the square root of 1 is 1).
If the variance is 846, then the standard deviation is 29.1, the square root of 846.
Standard deviation = square root of variance.
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
Standard deviation
The standard deviation is the square root of the variance.