code: def test_normal_distribution(self):
      x = pd.Series(
          [
              10,
              386,
              479,
              627,
              20,
              523,
              482,
              483,
              542,
              699,
              535,
              617,
              577,
              471,
              615,
              583,
              441,
              562,
              563,
              527,
              453,
              530,
              433,
              541,
              585,
              704,
              443,
              569,
              430,
              637,
              331,
              511,
              552,
              496,
              484,
              566,
              554,
              472,
              335,
              440,
              579,
              341,
              545,
              615,
              548,
              604,
              439,
              556,
              442,
              461,
              624,
              611,
              444,
              578,
              405,
              487,
              490,
              496,
              398,
              512,
              422,
              455,
              449,
              432,
              607,
              679,
              434,
              597,
              639,
              565,
              415,
              486,
              668,
              414,
              665,
              763,
              557,
              304,
              404,
              454,
              689,
              610,
              483,
              441,
              657,
              590,
              492,
              476,
              437,
              483,
              529,
              363,
              711,
              543,
          ],
      )
      outliers = [10, 20, 763]
      primitive_instance = self.primitive(2)
      primitive_func = primitive_instance.get_function()
      assert primitive_func(x) == len(outliers)
  
imports: import numpy
  import pandas
  from pytest import raises
  from featuretools.primitives import CountAboveMean, CountGreaterThan, CountInsideNthSTD, CountInsideRange, CountLessThan, CountOutsideNthSTD, CountOutsideRange
  from featuretools.tests.primitive_tests.utils import PrimitiveTestBase
label_desc: Use image node_id 1 for calling the TestCountOutsideNthSTD obj's underlying member method code with example usage: obj.test_normal_distribution() without return types