code: def compute_exp_std_skewness(
      probabilities: Sequence[float],
  ) -> Tuple[float, float, float]:
      exp = np.sum(probabilities)
      std = np.sqrt(np.sum([p * (1 - p) for p in probabilities]))
      skewness = (
          np.sum([p * (1 - p) * (1 - 2 * p) for p in probabilities])
          / std**3
      )
      return exp, std, skewness
  
imports: import numpy
  from scipy.stats import norm
  from typing import Sequence, Tuple
  from dataclasses import dataclass
label_desc: Use image node_id 2 for calling a global function with example usage: compute_exp_std_skewness(probabilities) and returns: exp,  std,  skewness