正态性检验

def solve():
    from scipy import stats
    import numpy as np
    from sklearn.datasets import load_iris
    iris = load_iris()
    X = iris.data
    y = iris.target
    # Friedman检验：使用前3组各10个样本
    groups = np.array([X[y == i, ____][:____] for i in range(____)])
    stat, p = stats.friedmanchisquare(____)
    print(____)