Random.NextDouble Method

using System;
using System.Threading;

public class RandomObjectDemo  
{
    // Generate random numbers from the specified Random object.
    static void RunIntNDoubleRandoms( Random randObj )
    {
        // Generate the first six random integers.
        for( int j = 0; j < 6; j++ )
            Console.Write(" {0,10} ", randObj.Next());
        Console.WriteLine();

        // Generate the first six random doubles.
        for( int j = 0; j < 6; j++ )
            Console.Write(" {0:F8} ", randObj.NextDouble( ) );
        Console.WriteLine();
    }

    // Create a Random object with the specified seed.
    static void FixedSeedRandoms(int seed)
    {
        Console.WriteLine( 
            "\nRandom numbers from a Random object with seed = {0}:", 
            seed );
        Random fixRand = new Random(seed);
        RunIntNDoubleRandoms(fixRand);
    }

    // Create a random object with a timer-generated seed.
    static void AutoSeedRandoms()
    {
        // Wait to allow the timer to advance.
        Thread.Sleep(20);

        Console.WriteLine( 
            "\nRandom numbers from a Random object with an auto-generated seed:");
        Random autoRand = new Random();
        RunIntNDoubleRandoms(autoRand);
    }

    static void Main()
    {	
        FixedSeedRandoms(123);
        FixedSeedRandoms(123);

        FixedSeedRandoms(456);
        FixedSeedRandoms(456);

        AutoSeedRandoms();
        AutoSeedRandoms();
        AutoSeedRandoms();
    }
}
// This example displays output similar to the following:
//    Random numbers from a Random object with seed = 123:
//     2114319875  1949518561  1596751841  1742987178  1586516133   103755708
//     0.01700087  0.14935942  0.19470390  0.63008947  0.90976122  0.49519146
//    
//    Random numbers from a Random object with seed = 123:
//     2114319875  1949518561  1596751841  1742987178  1586516133   103755708
//     0.01700087  0.14935942  0.19470390  0.63008947  0.90976122  0.49519146
//    
//    Random numbers from a Random object with seed = 456:
//     2044805024  1323311594  1087799997  1907260840   179380355   120870348
//     0.21988117  0.21026556  0.39236514  0.42420498  0.24102703  0.47310170
//    
//    Random numbers from a Random object with seed = 456:
//     2044805024  1323311594  1087799997  1907260840   179380355   120870348
//     0.21988117  0.21026556  0.39236514  0.42420498  0.24102703  0.47310170
//    
//    Random numbers from a Random object with an auto-generated seed:
//     1005316318   212129543  1298121862    15554380   287332403  1482179893
//     0.54097964  0.57722251  0.26063171  0.74283980  0.86753811  0.35308197
//    
//    Random numbers from a Random object with an auto-generated seed:
//     1775844246  1703981883  1692846203   906946687   767878762  1444308819
//     0.70988680  0.60417296  0.24009892  0.64285736  0.65522655  0.84451309
//    
//    Random numbers from a Random object with an auto-generated seed:
//      398888527  1048350576  2087570550  1798338994  1248425121  1406437745
//     0.87879396  0.63112340  0.21956613  0.54287493  0.44291500  0.33594421

using System;

public class Example
{
   public static void Main()
   {
      int[] frequency = new int[10];
      double number;
      Random rnd = new Random();

      for (int ctr = 0; ctr <= 99; ctr++) {
         number = rnd.NextDouble();
         frequency[(int) Math.Floor(number*10)] ++;
      }
      Console.WriteLine("Distribution of Random Numbers:");
      for (int ctr = frequency.GetLowerBound(0); ctr <= frequency.GetUpperBound(0); ctr++)
         Console.WriteLine("0.{0}0-0.{0}9       {1}", ctr, frequency[ctr]);
   }
}
// The following example displays output similar to the following:
//       Distribution of Random Numbers:
//       0.00-0.09       16
//       0.10-0.19       8
//       0.20-0.29       8
//       0.30-0.39       11
//       0.40-0.49       9
//       0.50-0.59       6
//       0.60-0.69       13
//       0.70-0.79       6
//       0.80-0.89       9
//       0.90-0.99       14