title: How to plot a probability density function on a histogram?
body: <p>My function called DicePlot, simulates rolling 10 dice 5000 times. In the function, it calculates the sum of values of the 10 dice of each roll, which will be a 1 × 5000 vector, and plot relative frequency histogram with edges of bins being selected in the same manner where each bin in the histogram should represent a possible value of for the sum of the dice.</p>
  
  <p>The mean and standard deviation are computed of the 1 × 5000 sums of dice values and the probability density function of normal distribution (with the mean and standard deviation that is computed) on top of the relative frequency histogram is plotted. </p>
  
  <p>I have everything done, but i'm confused on how to plot the probability density function. any help is appreciated. thanks!</p>
  
  <p>for reference the graph is supposed to look like!<img src="https://i.stack.imgur.com/3Jq2q.jpg" alt="enter image description here"></p>
  
  <pre><code>function DicePlot ( throw_num, die_num )
  
  throw_num=5000
  die_num= 10
  
    throws = rand ( throw_num, die_num );
  
    throws = ceil ( 6 * throws );
  
    for i = die_num : die_num*6
      j = find ( score == i );
      y(i-die_num+1) = length ( j ) / throw_num;
    end 
  
    bar ( x, y )
  
    xlabel ( 'Score' )
    ylabel ( 'Estimated Probability' )
  
  
    score_ave = sum ( score(1:throw_num) ) / throw_num;
    score_var = var ( score );
  
  
  
    return
  end
  </code></pre>