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Q: How do you find the standard deviation for data?

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Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.

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.

The range is 9 and 3.01 is the standard deviation.

The data point is close to the expected value.

The standard deviation is the square root of the variance.

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A standard deviation calculator allows the user to find the mean spread away from the mean in a statistical environment. Most users needing to find the standard deviation are in the statistics field. Usually, the data set will be given and must be typed into the calculator. The standard deviation calculator will then give the standard deviation of the data. In order to find the variance of the data, simply square the answer.

The standard deviation is a measure of the spread of data.

Standard deviation is a measure of the spread of data.

No, if the standard deviation is small the data is less dispersed.

Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.

It depends on the data. The standard deviation takes account of each value, therefore it is necessary to know the values to find the sd.

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

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. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.

Standard deviation has the same unit as the data set unit.

Standard deviation helps you identify the relative level of variation from the mean or equation approximating the relationship in the data set. In a normal distribution 1 standard deviation left or right of the mean = 68.2% of the data 2 standard deviations left or right of the mean = 95.4% of the data 3 standard deviations left or right of the mean = 99.6% of the data

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