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Jan 18th, 2020
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Python 0.34 KB | None | 0 0
  1. import numpy as np
  2. from scipy import stats
  3.  
  4.  
  5. in_list = list(map(float, input().split(' ')))
  6. arr = np.array(in_list, dtype=float)
  7. k2, p = stats.normaltest(arr)
  8. threshold = 0.05
  9. print(p)
  10. if p > threshold:
  11.     print("Нормальное распределение")
  12. else:
  13.     print("Не нормальное распределение")
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