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Standard deviation = square root of variance.

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βˆ™ 2012-07-16 04:37:19
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

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Q: How do you calculate standard deviation if I know variance?
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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.

If the variance of a distribution is 13.53, what is its standard deviation If the standard deviation of a distribution is 3.45, what is its variance?

I don’t know if this is correct or not but, I think it’s standard deviation 1.581138830084 I hope this helps but can you help me with each product of the same facor 10/4 =. I hope you can help with my problem an again I hope this helpsπŸ‘πŸ‘

Standard deviation considered a crude measure of variance?

No. Well not exactly. The square of the standard deviation of a sample, when squared (s2) is an unbiased estimate of the variance of the population. I would not call it crude, but just an estimate. An estimate is an approximate value of the parameter of the population you would like to know (estimand) which in this case is the variance.

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

You cannot; there is insufficient information.

How do you calculate probability given mean and standard deviation?

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.

What is the standard error of the sampling distribution equal to when you do not know the population standard deviation?

You calculate the standard error using the data.

Why do we need the standard deviation?

We need the standard deviation to describe or know about the variation of the numbers.

What is the variance and standard devation of 7?

"Variance" and "Standard deviation" are numbers that describe a set of data that typically contains several numbers. Applied to a single number, neither of them has any meaning. -- The variance, standard deviation, and mean squared error of 7 are all zero. -- The mean, median, mode, average, max, min, RMS, and absolute value of 7 are all 7 . None of these facts tells you a thing about ' 7 ' that you didn't already know as soon as you found out that it was ' 7 '.

How do you know if a z score is positive or negative?

A negative Z-Score corresponds to a negative standard deviation, i.e. an observation that is less than the mean, when the standard deviation is normalized so that the standard deviation is zero when the mean is zero.

Why is it a useful value to report standard deviation?

The standard deviation of a distribution is the average spread from the mean (average). If I told you I had a distribution of data with average 10000 and standard deviation 10, you'd know that most of the data is close to the middle. If I told you I had a distrubtion of data with average 10000 and standard deviation 3000, you'd know that the data in this distribution is much more spread out.

When you have a normal distribution and you know that the area above a given value of x is .35 you also know that?

You also know that x is 1.036 times the standard deviation of the variable above its mean. Anything more than that would require further information about the mean and/or the variance of the variable.

Why you measure standard deviation?

The idea is to know how much the values "spread out" from the average.

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