Evan Miller A/B Testing Tools

Statistical tools and calculators for A/B test design and analysis.

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Evan Miller A/B Testing Tools logo — Statistical tools and calculators for A/B test design and analysis.

Quick Summary

Evan Miller's suite of A/B testing statistical tools provides calculators for chi-square tests, t-tests, sample size planning, and Bayesian analysis — widely referenced in the conversion optimization community.

Pricing: Free Platforms: Web Editorial rating: 3.9 / 5 Category: Statistical Analysis Tools

Evan Miller A/B Testing Tools at a Glance

Category Statistical Analysis Tools
Pricing model Free
Starting price $0 (free plan available)
Platforms Web
Editorial rating ★ 3.9 / 5 (Kreemhunt staff score)
Best for Statistical tools and calculators for A/B test design and analysis.
Community votes 10

Pros

  • Academically rigorous statistical implementations
  • Free reference tools trusted by data scientists and CRO professionals
  • Covers multiple statistical approaches including Bayesian methods
  • Sample size calculators for pre-test planning

Cons

  • No visual interface — text-heavy academic tool design
  • Requires statistical knowledge to use effectively
  • Implementation may require time investment to see full value

Evan Miller A/B Testing Tools Pricing Plans

Official pricing as published by Evan Miller A/B Testing Tools. Verify current rates before purchasing.

Free

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Evan Miller's suite of A/B testing statistical tools provides calculators for chi-square tests, t-tests, sample size planning, and Bayesian analysis — widely referenced in the conversion optimization community.

What Makes Evan Miller A/B Testing Tools Stand Out

Academically rigorous statistical implementations. Free reference tools trusted by data scientists and CRO professionals

Covers multiple statistical approaches including Bayesian methods

Pricing and Plans

Evan Miller A/B Testing Tools is completely free to use — no subscription or payment required, making it accessible to anyone who needs it.

Who Should Use Evan Miller A/B Testing Tools

Evan Miller A/B Testing Tools is best for teams and individuals who need ab test significance capabilities and where academically rigorous statistical implementations. It may not be the right fit when no visual interface — text-heavy academic tool design.

Verdict

Evan Miller A/B Testing Tools delivers on its core promise as a ab test significance tool. Evan Miller's suite of A/B testing statistical tools provides calculators for chi-square tests, t-te... For teams evaluating ab test significance options, Evan Miller A/B Testing Tools is worth considering based on its specific strengths and how they align with your requirements.

Sequential Testing

Evan Miller's sequential testing calculator enables monitoring experiments in real-time without inflating false positive rates — addressing the "peeking problem" where checking results before the planned sample size invalidates frequentist statistical tests.

Chi-Square and Proportion Tests

Multiple test types support different experimental designs — the site provides chi-square tests for conversion rates, proportion tests, and power calculations appropriate for different measurement scenarios.

Summary

These specialized tools address specific professional needs with focused functionality. Free access or trials enable hands-on evaluation before committing to full adoption.

Best Practices

Effective use of these tools comes from consistent application within established workflows. The organizations that get the most value integrate them systematically rather than using them episodically.

Overall rating: 3.9 / 5

Evan Miller's AB Testing calculators are the free statistical significance and sample size tools — providing the calculations that marketers, product managers, and analysts need to design and interpret A/B tests correctly.

Statistical Significance Calculator

The significance calculator determines whether observed conversion rate differences between variants are statistically significant or likely due to random chance — the fundamental analysis that separates valid test results from noise.

Sample Size Calculator

The sample size calculator determines how many visitors each variant needs to detect a meaningful conversion rate difference at specified statistical power — essential for planning tests that conclude in reasonable time without underpowering.

Bayesian vs. Frequentist Approaches

Evan Miller provides both frequentist (p-value) and Bayesian calculators — supporting teams with different statistical philosophies and enabling comparison between approaches.

Free and Accessible

These calculators are freely available without registration — providing the statistical foundations for valid A/B testing to any practitioner without premium tool subscriptions.

Who Uses These Calculators

Used by conversion rate optimization practitioners, product managers running feature experiments, and marketers who want to design and interpret A/B tests correctly without enterprise experimentation platform subscriptions.

Overall rating: 4.5 / 5

Discussion & User Ratings

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