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The standard deviation of a normal deviation is the square root of the mean, also the square root of the variance.

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Q: What is the standard normal deviation?
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Related questions

What is the standard deviation of a standard normal distribution?

The standard deviation in a standard normal distribution is 1.


In the standard normal distribution the standard deviation is always what?

The standard deviation in a standard normal distribution is 1.


A standard normal distribution has a mean of and standard deviation of?

Mean 0, standard deviation 1.


What is the mean and standard deviation for the standard normal curve?

Mean = 0 Standard Deviation = 1


What is Normal of Standard Normal Probability Distribution?

with mean of and standard deviation of 1.


How do you apply standard deviation to normal curve?

The distance between the middle and the inflection point is the standard deviation.


How does standard normal distribution differ from normal distribution?

The standard normal distribution has a mean of 0 and a standard deviation of 1.


What is the difference between a general normal curve and a standard normal curve?

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.


Why don't all normal curves have the same standard deviation?

Because the standard deviation is one of the two parameters (the other being the mean) which define the Normal curve. The mean defines the location and the standard deviation defines its shape.


Is the standard normal distribution has a mean of 1 and standard deviation of 0?

No.


What is a normal random variable minus its mean and divided by its standard deviation?

It is the Standard normal variable.


Can standard deviation be calculated for non normal data?

Standard deviation can be calculated using non-normal data, but isn't advised. You'll get abnormal results as the data isn't properly sorted, and the standard deviation will have a large window of accuracy.