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It depends on what the distribution is. In a Normal or Gaussian distribution, the standard deviation is the square root of the mean, so it could be 3.1 but, again, it depends on the distribution.

Q: What is the standard deviation of the mean of 9.65?

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Standard deviation is the variance from the mean of the data.

The mean is the average value and the standard deviation is the variation from the mean value.

no the standard deviation is not equal to mean of absolute distance from the mean

Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.

In the same way that you calculate mean and median that are greater than the standard deviation!

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Information is not sufficient to find mean deviation and standard deviation.

Mean 0, standard deviation 1.

Mean = 0 Standard Deviation = 1

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.

Mean and standard deviation are not related in any way.

Standard deviation can be greater than the mean.

Standard deviation is the variance from the mean of the data.

Standard deviation is a measure of variation from the mean of a data set. 1 standard deviation from the mean (which is usually + and - from mean) contains 68% of the data.

No. A small standard deviation with a large mean will yield points further from the mean than a large standard deviation of a small mean. Standard deviation is best thought of as spread or dispersion.

Yes. Consider the definition of the standard deviation. It is the square root of the variance from the mean. As a result, it can be said that the standard deviation is dependent on the mean.

The standard deviation tells us nothing about the mean.

The mean is the average value and the standard deviation is the variation from the mean value.