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Q: Which type of measure of dispersion is mostly used standard deviation or variance?

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standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.

standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2

No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.

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

Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.

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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 is best measure of dispersion because all the data distributions are nearer to the normal distribution.

standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2

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.

They are measures of the spread of distributions about their mean.

The variance or standard deviation.

Variance

No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.

How do we calculate variance

Because it is in same units as the original data. For example, if you have a sample of lengths, all in centimetres, the sample variance will be in units of centrimetres2 which might be more difficult to interpret but the sample standard deviation with be in units of centimetres, which would be relatively easy to intepret with reference to the data.

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

A measure of variation, also called a measure of dispersion, is a type of measurement that details how a set of data is scattered from a central or neutral point of origin. Range, variance and standard deviation are three measures of variation that are commonly used.

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