我正在针对正常性测试运行非正常样本，期望它会失败。但是，p值{正态检验：2.64，shapiro：6.23}远高于0.05，所以我不能拒绝原假设来自正态分布的原假设。有人可以启发我吗？
import random
from scipy.stats import shapiro
from scipy import stats
x = list()
for y in range(1000):
x.append(random.randrange(1,100))
print(stats.normaltest(x))
print(shapiro(x))
print(x)
NormaltestResult(statistic=500.02063130202464, pvalue=2.641797311523516e-109)
(0.9599024057388306, 6.233162463518298e-16)
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