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Q: What measure of variability is the square root of the variance?
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Why standard deviation is better measure of variance?

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!


Why standard deviation is more often used than variance?

Both variance and standard deviation are measures of dispersion or variability in a set of data. They both measure how far the observations are scattered away from the mean (or average). While computing the variance, you compute the deviation of each observation from the mean, square it and sum all of the squared deviations. This somewhat exaggerates the true picure because the numbers become large when you square them. So, we take the square root of the variance (to compensate for the excess) and this is known as the standard deviation. This is why the standard deviation is more often used than variance but the standard deviation is just the square root of the variance.


What is used as a measure of total risk?

The standard deviation or volatility (square root of the variance) of returns.


What is the relationship between standard deviation and variance?

Standard deviation is the square root of the variance.


How do you convert variance of 10.8 square inches into standard deviation?

Standard deviation = square root of variance.


Can standard deviation be larger then its variance?

No. The standard deviation is the square root of the variance.


The difference between variance and standard deviation?

The SD is the (positive) square root of the variance.


How do you calculate standard deviation if I know variance?

Standard deviation = square root of variance.


What is the square root of the variance called?

Standard deviation


Is variance the square root of standard deviation?

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.


What is the square of the standard deviation called?

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.


What is the significance of variance in statistics?

Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.