title: Computationally simple pseudo-Gaussian distribution with varying mean and standard deviation?
body: <p>This picture from Wikipedia has a nice example of the sort of functions I'd ideally like to generate:</p>
  
  <p><img src="https://upload.wikimedia.org/wikipedia/commons/7/74/Normal_Distribution_PDF.svg" alt="pseudo-Gaussian distributions"></p>
  
  <p>Right now I'm using the Irwin-Hall Distribution, which is more or less a polynomial approximation of the Gaussian distribution...basically, you use uniform random number generator and iterate it x times, and take the average.  The more iterations, the more like a Gaussian Distribution it is.</p>
  
  <p>It's pretty nice; however I'd like to be able to have one where I can vary the mean.  For example, let's say I wanted a number between the range 0 and 10, but <em>around</em> 7.  Like, the mean (if I repeated this function multiple times) would turn out to be 7, but the actual range is 0-10.</p>
  
  <p>Is there one I should look up, or should I work on doing some fancy maths with standard Gaussian distributions?</p>