FinalExam: CoinProbability

Code

      /// Name: Jason Kim
      /// Period: 7
      /// Program Name: CoinProbability
      /// File Name: CoinProbability.java
      /// Date Finished:1/21/16
      
      import java.util.Scanner;
      import java.util.Random;
      
      public class CoinProbability
      {
          public static void main(String[] args)
          {
              Scanner keyboard = new Scanner(System.in);
              Random r = new Random();
              int flipCounter = 0, tails = 0, heads = 0, flip;//tails: number of tails, heads = number of heads,flip: the number of flips the user wants to do
              
              do
              {
                  System.out.println("\nPlease choose a number between 0 and 2,100,000,000.");
                  System.out.print("\nHow many times do you want to flip? ");
                  flip = keyboard.nextInt();
              }while( flip> 2100000000 || flip < 1);//checks if the number is between 1 and 2100000000
              
              while( flipCounter < flip)
              {
                  int side = r.nextInt(2);
                  //0 = tail, 1 = head
                  if( side == 0)
                  {
                      tails ++;
                  }
                  else
                  {
                      heads++;
                  }
                  flipCounter++;
              }
              
              double probOfHeads = (double)heads / flip;
              double probOfTails = (double)tails / flip;
              
              System.out.println("number of heads: " + heads);
              System.out.println("number of tails: " + tails);
              
              System.out.println("\nprobability of rolling heads: " + probOfHeads);
              System.out.println("probability of rolling tails: " + probOfTails);
              System.out.println();
          }
      }
      //The bigger the number of times you flip, the probability of getting heads( or tails) gets closer to 50%
      //If you put in 2,100,000,000 you will get a probability that is close to 50%.
              
    

Picture of the output