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It depends on what the underlying distribution is and which coefficient you want to calculate.

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Q: How do you calculate a coefficient knowing the expected rate of return and standard deviation?
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Related questions

How do you calculate expected variation?

Mean 10.70 Standard Deviation 0.030101868

How do you calculate the expected value when you know the standard deviation?

You cannot; there is insufficient information.

Why we calculate standard deviation and quartile deviation?

we calculate standard deviation to find the avg of the difference of all values from mean.,

Coefficient of Deviation?

Coefficient of deviation (CV) is a term used in statistics. It is defined as the ratio of the standard deviation (sigma) to the mean (mu). The formula for CV is CV=sigma/mu.

How do you calculate variance given standard deviation?

Square the standard deviation and you will have the variance.

Notes about Bowel's coefficient of skewness and Kelly's coefficient of skewness?

describe the properties of the standard deviation.

How do you calculate coefficient of variation?

The coefficient of variation is calculated by dividing the standard deviation of a dataset by the mean of the same dataset, and then multiplying the result by 100 to express it as a percentage. It is a measure of relative variability and is used to compare the dispersion of data sets with different units or scales.

What is the standard deviation of 9?

You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.

How do you calculate standard deviation if I know variance?

Standard deviation = square root of variance.

Is the expected value the same as the standard deviation?

No. The expected value is the mean!

What is the definition of standard deviation?

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

How do you calculate mean and Median smaller then Standard deviation?

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