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  1. import numpy as np
  2. import scipy.stats as stats
  3. np.random.seed(2019)
  4. rvs1 = stats.norm.rvs(loc=5, scale=10, size=(500,4))
  5. rvs2 = stats.norm.rvs(loc=5, scale=10, size=(300,4))
  6. t_statistic, p_val = stats.ttest_ind(rvs1, rvs2)
  7. print(t_statistic, p_val)
  8. t_statistic, p_val = stats.ttest_ind(rvs1[:, 0], rvs2[:, 0])
  9. print(t_statistic, p_val)
  10.  
Success #stdin #stdout 0.28s 212224KB
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[ 0.17217311  1.03383861 -0.7813787  -1.5317086 ] [ 0.86334509  0.30152482  0.43481154  0.12599068]
0.17217310571 0.863345094538
https://ideone.com/iycSU8
language:
Python 3 (python  3.12)
created:
6 years ago
visibility:
public

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