code: def test_values_normal(random_xy_dataset_regr):
      X, y = random_xy_dataset_regr
      mod = RandomRegressor(strategy="normal").fit(X, y)
      assert mod.mu_ == pytest.approx(np.mean(y), abs=0.001)
      assert mod.sigma_ == pytest.approx(np.std(y), abs=0.001)
  
file_path: scikit-lego/tests/test_estimators/test_randomregressor.py
imports: import numpy
  import pytest
  from sklego.common import flatten
  from sklego.dummy import RandomRegressor
  from tests.conftest import general_checks, nonmeta_checks, regressor_checks, select_tests
label_desc: Use image node_id 3 for calling a global function with example usage: test_values_normal(random_xy_dataset_regr) without return types