Reference library

A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

1 match
A/B testing & experimentation medium

How to Conduct a Two-Sample T-Test in Python

Performs Welch's t-test for two independent samples, computing the t-statistic, degrees of freedom, and p-value using NumPy and SciPy.

statistics hypothesis-testing t-test
Python 
import numpy as np

def two_sample_t_test(sample1, sample2):
    """Perform Welch's t-test for two independent samples."""
    n1, n2 = len(sample1), len(sample2)
    mean1, mean2 = np.mean(sample1), np.mean(sample2)
    var1, var2 = np.var(sample1, ddof=1), np.var(sample2, ddof=1)

    # Standard error of difference
…
15 0 Open

Browse by section

Each section groups closely related Python snippets.

A/B testing & experimentation — Python code examples

What you will find here

This page collects a/b testing & experimentation snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.

Related coding tools

Free online Python IDE Write and run Python in your browser — no install. Free Python code formatter Format with autopep8 — side-by-side PEP 8 cleanup. Python code samples Copy-ready snippets to study and run in the IDE.