public class Stats
{
    int sum = 0;
    int mean = 0;
    double median = 0.0;
    double deviation = 0.0;
    static String statFile = "Saved_Draws.txt";

 /**
  * this is the portion of the stats that is used to take the file read it and
  * make sure that the list is not empty and then add them to an array to use
  * within the next part for finding the stats.
  *
  * @return   savedStats
  */
 static public ArrayList<Double> savedStats()
 {
         try
        {

            FileReader dataReader = new FileReader(statFile);
            BufferedReader savedFile = new BufferedReader(dataReader);


            String statsPerLine = savedFile.readLine();
            ArrayList<Double> savedStats = new ArrayList<Double>();

            while (statsPerLine != null)
            {
                savedStats.add(Double.parseDouble(statsPerLine));
                statsPerLine = savedFile.readLine();
            }
            return savedStats;

       } catch (FileNotFoundException exp)
          {
            exp.printStackTrace();
            return null;
          } catch (IOException exp)
         {
            return null;
         }
    }
    /**
     * takes the sum of the numbers within the savedStats list and divides that
     * by the length of the savedstats list.
     *
     * @return  mean
     */
    public int mean()
    {
        savedStats();
    for( double i : (savedStats)
        {
        sum += i;
        mean = sum / savedStats;
        }
    return mean;
    }

    /**
     *this takes the savedStats list and finds the median.
     * if the savedStats is a even amount it takes the length of the array divides
     * it by 2 and minus it by 1.
     * adds it to the length of the array divided by 2 then divides the whole thing
     * by 2 to get the middle
     * else
     * its the length of the array divided by 2
     *
     * @return  median
     */
    public double median()
    {
     Arrays.sort(savedStats);

    if (savedStats.length % 2 == 0)
        median = ((double)savedStats[savedStats.length/2] + (double)savedStats[savedStats.length/2 - 1])/2;
    else
        median = (double) savedStats[savedStats.length/2];
        return median;
    }

    /**
     * this caculates the standardDeviation of the savedStats numbers generated.
     *
     *
     * @return   Deviation
     */
    public double standardDeviation()
    {
        double total = 0;

    for(double i = 0; i < savedStats.length; i++){
         total += savedStats[i]; // this is the calculation for summing up all the values
    }

        mean = total / savedStats.length;
    return deviation;
    }
}