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permutation_test(data, statistic, *, permutation_type='independent', vectorized=None, n_resamples=9999, batch=None, alternative='two-sided', axis=0, random_state=None)



data : iterable of array-like
statistic : callable
permutation_type : {'independent', 'samples', 'pairings'}, optional
vectorized : bool, optional
n_resamples : int or np.inf, default: 9999
batch : int, optional
alternative : {'two-sided', 'less', 'greater'}, optional
axis : int, default: 0
random_state : {None, int, `numpy.random.Generator`,


statistic : float or ndarray
pvalue : float or ndarray
null_distribution : ndarray


See :

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GitHub : /scipy/stats/
type: <class 'function'>