function log_normal_sample_test ( )

%*****************************************************************************80
%
%% log_normal_sample_test() tests log_normal_sample().
%
%  Licensing:
%
%    This code is distributed under the MIT license.
%
%  Modified:
%
%    23 March 2016
%
%  Author:
%
%    John Burkardt
%
  nsample = 10000;

  fprintf ( 1, '\n' );
  fprintf ( 1, 'LOG_NORMAL_SAMPLE_TEST\n' );
  fprintf ( 1, '  LOG_NORMAL_MEAN computes the Log Normal mean;\n' );
  fprintf ( 1, '  LOG_NORMAL_SAMPLE samples the Log Normal distribution;\n' );
  fprintf ( 1, '  LOG_NORMAL_VARIANCE computes the Log Normal variance.\n' );

  mu = 1.0;
  sigma = 0.5;

  check = log_normal_check ( mu, sigma );

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

  mean = log_normal_mean ( mu, sigma );
  variance = log_normal_variance ( mu, sigma );

  fprintf ( 1, '\n' );
  fprintf ( 1, '  PDF parameter MU =            %14g\n', mu );
  fprintf ( 1, '  PDF parameter SIGMA =         %14g\n', sigma );
  fprintf ( 1, '  PDF mean =                    %14g\n', mean );
  fprintf ( 1, '  PDF variance =                %14g\n', variance );

  for i = 1 : nsample
    x(i) = log_normal_sample ( mu, sigma );
  end

  mean = r8vec_mean ( nsample, x );
  variance = r8vec_variance ( nsample, x );
  xmax = max ( x(1:nsample) );
  xmin = min ( x(1:nsample) );

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

  return
end
