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 __init__(self, n=1):
      if n < 0:
          raise ValueError("n must be a positive number")
  
      self.n = n
  
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 1 to create a new CountOutsideNthSTD object from inherited base classes: AggregationPrimitive with example: obj = CountOutsideNthSTD(n)