t检验（均值检验）

from scipy import stats
import numpy as np# 单样本t检验

sample1 = np.random.normal(loc=5.1, scale=1, size=100)
t_test_1samp_result = stats.ttest_1samp(sample1, 5.1)
print(f"单样本t检验结果：t值 = {t_test_1samp_result.statistic}, p值 = {t_test_1samp_result.pvalue}")# 两独立样本t检验

sample2 = np.random.normal(loc=5.2, scale=1, size=100)
t_test_ind_result = stats.ttest_ind(sample1, sample2)
print(f"两独立样本t检验结果：t值 = {t_test_ind_result.statistic}, p值 = {t_test_ind_result.pvalue}")# 两配样本t检验

paired_sample1 = np.random.normal(loc=5.1, scale=1, size=100)
paired_sample2 = np.random.normal(loc=5.2, scale=1, size=100)
t_test_rel_result = stats.ttest_rel(paired_sample1, paired_sample2)
print(f"两配样本t检验结果：t值 = {t_test_rel_result.statistic}, p值 = {t_test_rel_result.pvalue}")

单样本t检验结果：t值 = -2.4155712492649353, p值 = 0.017544431649790682
两独立样本t检验结果：t值 = -2.4041306362696138, p值 = 0.017132428848110136
两配样本t检验结果：t值 = -1.5798368004543906, p值 = 0.1173341383046289