code: def raised_funds(pronac, data):
      
      is_outlier, mean, std, total_raised_funds = get_outlier_info(pronac)
      maximum_expected_funds = gaussian_outlier.maximum_expected_value(mean, std)
  
      return {
          'is_outlier': is_outlier,
          'total_raised_funds': total_raised_funds,
          'maximum_expected_funds': maximum_expected_funds
      }
docs: Returns the total raised funds of a project
      with the given pronac and if this project is an
      outlier based on this value.