统计学 P 值计算

用于科研数据分析的统计程序，支持快速计算和输出实验数据的 P 值。

💻 核心源代码

import numpy as np
from scipy import stats

# Example data for two independent samples (mean, std dev, sample size)
mean1 = 102.2072
std1 = 18.089
nobs1 = 5

mean2 = 133.8234
std2 = 9.78
nobs2 = 5

# Perform independent samples t-test using stats
t_stat, p_value = stats.ttest_ind_from_stats(mean1=mean1, std1=std1, nobs1=nobs1,
                                              mean2=mean2, std2=std2, nobs2=nobs2)

# Determine significance stars
stars = ''
if p_value < 0.001:
    stars = '***'
elif p_value < 0.01:
    stars = '**'
elif p_value < 0.05:
    stars = '*'

print(f"t统计量: {t_stat}")
print(f"P值: {p_value}{stars}")

💻 核心源代码​

💻 核心源代码