function bernoulli_sample_test ( )

%*****************************************************************************80
%
%% bernoulli_sample_test() tests bernoulli_mean(), bernoulli_sample(), bernoulli_variance().
%
%  Licensing:
%
%    This code is distributed under the MIT license.
%
%  Modified:
%
%    13 January 2021
%
%  Author:
%
%    John Burkardt
%
  nsample = 1000;

  fprintf ( 1, '\n' );
  fprintf ( 1, 'BERNOULLI_SAMPLE_TEST():\n' );
  fprintf ( 1, '  BERNOULLI_MEAN() computes the Bernoulli mean;\n' );
  fprintf ( 1, '  BERNOULLI_SAMPLE() samples the Bernoulli distribution;\n' );
  fprintf ( 1, '  BERNOULLI_VARIANCE() computes the Bernoulli variance.\n' );

  a = 0.75;

  check = bernoulli_check ( a );

  if ( ~ check );
    fprintf ( 1, '\n' );
    fprintf ( 1, 'BERNOULLI_SAMPLE_TEST - Fatal error!\n' );
    fprintf ( 1, '  The parameters are not legal.\n' );
    return
  end

  pdf_mean = bernoulli_mean ( a );
  pdf_var = bernoulli_variance ( a );

  fprintf ( 1, '\n' );
  fprintf ( 1, '  PDF parameter A = %14f\n', a );
  fprintf ( 1, '  PDF mean =        %14f\n', pdf_mean );
  fprintf ( 1, '  PDF variance =    %14f\n', pdf_var );
  
  x = zeros ( nsample, 1 );
  for i = 1 : nsample
    x(i) = bernoulli_sample ( a );
  end

  xmean = mean ( x );
  xvar  = var ( x );
  xmax  = max ( x );
  xmin  = min ( x );

  fprintf ( 1, '\n' );
  fprintf ( 1, '  Sample size =     %6d\n', nsample );
  fprintf ( 1, '  Sample mean =     %14f\n', xmean );
  fprintf ( 1, '  Sample variance = %14f\n', xvar );
  fprintf ( 1, '  Sample maximum =  %6d\n', xmax );
  fprintf ( 1, '  Sample minimum =  %6d\n', xmin );

  return
end
