Compute Q-Function for Gaussian Random Variables

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To compute the Q-function for a Gaussian random variable with zero mean and a specific variance, one can utilize the error function or refer to normal distribution tables. Online calculators and resources are available for automatic calculations, such as the provided links to a normal distribution table and a dedicated z-table site. These tools simplify the process of determining the probability that the Gaussian variable exceeds a given value. Understanding the relationship between the Q-function and the cumulative distribution function is also essential. Utilizing these resources can streamline the computation of Q-function values effectively.
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How can I compute values for the Q-function:

Probability that a gaussian random variable with zero mean and some variance exceeds a particular value.



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Maybe if i mention error function someone will recognize?
 
Look it up on a table of the Normal distribution comes to mind. But I'm sure there are calculators that will also do that.

A normal distribution table is here:
http://www.math.unb.ca/~knight/utility/NormTble.htm

Here's a site that does that automatically:
http://davidmlane.com/hyperstat/z_table.html
 
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