new_contents: import matplotlib.pyplot as plt
  import random
  import numpy as np
  
  (fig, ax) = plt.subplots(1,1)
  
  x = []
  y = []
  cnts = []
  data = []
  for i in range(250):
      x.append(i)
      data.append(random.randint(0, 100))
      std = np.std(data)
      avg = np.average(data)
      y.append(avg)
      cnt = np.sum(np.where(data>(avg+std*2), 1, 0))
      cnt += np.sum(np.where(data<(avg-std*2), 1, 0))
      cnts.append((len(data)-cnt)/float(len(data))*100.)
      
  ax.plot(x, y)
  ax2 = ax.twinx()
  ax2.plot(x, cnts, color='r')
  ax2.set_ylabel("Percentage within 2 sigma [%]", color='r')
  ax2.set_ylim(0,102)
  
  ax.set_xlabel("Random Sample Size Increase")
  ax.set_ylabel("Average", color='b')
  ax.set_ylim(0,102)
  ax.set_title("Random Sampling between 0 and 100")
  
  ax.grid(True)
  ax.set_yticks([0,25,50,75,100])
  
  fig.savefig('test.png')
subject: add test of convergance algo