class_docstr: Determines the number of observations that lie outside
      the first N standard deviations.
  
  Args:
      n (float): Number of standard deviations. Default is 1
  
  Examples:
      >>> count_outside_nth_std = CountOutsideNthSTD(n=1.5)
      >>> count_outside_nth_std([1, 10, 15, 20, 100])
      1
code: def get_function(self):
      def count_outside_nth_std(x):
          cond = np.abs(x - np.mean(x)) > np.std(x) * self.n
          return cond.sum()
  
      return count_outside_nth_std
  
imports: import numpy
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Integer
  from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive
label_desc: Use image node_id 2 for calling the CountOutsideNthSTD obj's underlying member method code with example usage: obj.get_function() and returns: count_outside_nth_std, cond