model {
   x1 ~ dnorm(mu,tau); 
   mu <- 1;
   tau <- 1/(sigma*sigma);
   sigma <- 2;

   x2 ~ dbin(p, n);
   p <- 0.5;
   n <- 10;

   x3 ~ dpois(lambda);
   lambda <- 3;

  x4 ~ dbeta(r,s);
  r <- 1;
  s <- 1;

  x5 ~ dbeta(50,50);

  x6 ~ dbeta(1,101);

  x7 ~ dgamma(c, rate);
  c <- 1;
  rate <- 1;

  x8 ~ dgamma(1,2);

  x9 ~ dgamma(2,1);

  x10 ~dgamma(5,1);

}