没有数组的scipy.stats.ttest_ind(python)

问题描述

我已经进行了许多计算，以估计两个样本的μ，σ和N.由于许多近似值，我没有期望作为scipy.stats.ttest_ind输入的数组.除非我弄错了，我只需要μ，σ和N即可进行韦氏t检验.有没有办法在python中做到这一点?

I have done a number of calculations to estimate μ, σ and N for my two samples. Due to a number of approximations I don't have the arrays that are expected as input to scipy.stats.ttest_ind. Unless I am mistaken I only need μ, σ and N to do a welch's t test. Is there a way to do this in python?

推荐答案

作为更新

此功能自版本0.16.0起在scipy.stats中可用

The function is now available in scipy.stats, since version 0.16.0

http://docs. scipy.org/doc/scipy-0.16.0/reference/generation/scipy.stats.ttest_ind_from_stats.html

scipy.stats.ttest_ind_from_stats(mean1, std1, nobs1, mean2, std2, nobs2, equal_var=True)
T-test for means of two independent samples from descriptive statistics.

This is a two-sided test for the null hypothesis that 2 independent samples have identical average (expected) values.

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