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Q: Is it possible that population standard deviation is given but population mean is not given?

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Square the standard deviation and you will have the variance.

A single number, such as 478912, always has a standard deviation of 0.

A single number, such as 478912, always has a standard deviation of 0.

3.6

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

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

A standard deviation in statistics is the amount at which a large number of given values in a set might deviate from the average. A percentile deviation represents this deviation as a percentage of the range.

1.10

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 mean and standard deviation do not, by themselves, provide enough information to calculate probability. You also need to know the distribution of the variable in question.

49.30179172 is the standard deviation and 52 is the mean.

No. Standard deviation is not an absolute value. The standard deviation is often written as a single positive value (magnitude), but it is really a binomial, and it equals both the positive and negative of the given magnitude. For example, if you are told that for a population the SD is 5.0, it really means +5.0 and -5.0 from the population mean. It defines a region within the distribution, starting at the lower magnitude (-5.0) increasing to zero (the mean), and another region starting at zero (the mean) and increasing up to the upper magnitude (+5.0). Both regions together define the (continuous) region of standard deviation from the mean value.

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