title: Latin Hypercube Sampling from a normal distribution (Python)
body: <p>How to generate 10 random numbers from normal distribution using latin hypercube sampling technique in python 2.7? The range of the random number should be 5 to 14.</p>
  
  <p>I tried following</p>
  
  <pre><code>import random
  from random import randint
  iter = 10
  segSize = 1 / iter
  for i in range(iter):
  segMin = i * segSize
  point = segMin+ (random.normalvariate(7.5,1)*segSize)
  pointValue = (point * (14 - 5)) + 4
  print point
  print pointValue
  </code></pre>
  
  <p>Thanks </p>