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Suppose you have n observations in your survey. Add all the observations together, to give Sx.

Next square all the observations and add then together and subtract (Sx)2/n.

Divide this number by (n-1) and take the square root.

Q: How do you find standard deviation in a survey?

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You're an idiot. It's standard deviation. Google that for your answer.

Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.

You cannot because the median of a distribution is not related to its standard deviation.

The standard deviation of the population. the standard deviation of the population.

The standard deviation is 0.

Related questions

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

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

No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.

You're an idiot. It's standard deviation. Google that for your answer.

Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.

You cannot because the median of a distribution is not related to its standard deviation.

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.

If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]

Look at the Wikipedia article on "Standard deviation" - it includes an example right at the beginning.

Standard deviation calculation is somewhat difficult.Please refer to the site below for more info

The standard deviation is the standard deviation! Its calculation requires no assumption.

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