code: def test_check_stats_alpha(load_pos_and_neg_data):
      """Tests the check_stats functionality with different alpha"""
  
      exp = TSForecastingExperiment()
  
      fh = 12
      fold = 2
      data = load_pos_and_neg_data
  
      exp.setup(
          data=data,
          fh=fh,
          fold=fold,
          fold_strategy="sliding",
          verbose=False,
          session_id=42,
      )
  
      alpha = 0.2
      results = exp.check_stats(alpha=alpha)
      assert (
          results.query("Test == 'White Noise'")
          .iloc[0]["Setting"]
          .get("alpha")
          == alpha
      )
      assert (
          results.query("Test == 'Stationarity'")
          .iloc[0]["Setting"]
          .get("alpha")
          == alpha
      )
      assert (
          results.query("Test == 'Normality'")
          .iloc[0]["Setting"]
          .get("alpha")
          == alpha
      )
  
imports: import pytest
  from time_series_test_utils import _ALL_DATA_TYPES, _ALL_STATS_TESTS, _ALL_STATS_TESTS_MISSING_DATA, _return_data_big_small, _return_model_names_for_plots_stats
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.utils.time_series.exceptions import MissingDataError
label_desc: Use image node_id 3 for calling a global function with example usage: test_check_stats_alpha(load_pos_and_neg_data) without return types