如何在python中比较置信区间的大小

import numpy as np
from scipy import stats

sample1 = [1, 2, 3, 4, 5]
sample2 = [2, 4, 6, 8, 10]

confidence_level = 0.95  # 置信水平为95%
mean1 = np.mean(sample1)
mean2 = np.mean(sample2)
std1 = np.std(sample1)
std2 = np.std(sample2)
n1 = len(sample1)
n2 = len(sample2)

# 计算置信区间
ci1 = stats.t.interval(confidence_level, n1-1, loc=mean1, scale=std1/np.sqrt(n1))
ci2 = stats.t.interval(confidence_level, n2-1, loc=mean2, scale=std2/np.sqrt(n2))

print("置信区间1:", ci1)
print("置信区间2:", ci2)

if ci1[1] > ci2[1]:
    print("置信区间1大于置信区间2")
elif ci1[1] < ci2[1]:
    print("置信区间1小于置信区间2")
else:
    print("置信区间1等于置信区间2")