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BayesLens Free

Free Tool

BayesLens Free

A basic Bayesian quick calculator for two common cases: a single-sample proportion and an independent-samples t-test. Free is designed for quick checks and light interpretation. Premium is where the fuller Bayesian support lives.

Choose your test and enter values

Pick the test you want, enter the required values, and generate a quick Bayes factor with a simple interpretation and plot.

Use this when you want to compare an observed proportion against a default null proportion of .50.
Use this for a basic Bayesian read on an independent-samples t-test from summary statistics.

Group 1

Group 2

Your result

This free version gives you a Bayes factor, a simple interpretation, and a quick visual. Check the output before using it in assessed work.

Bayes Factor

BF₁₀ = —

Interpretation

Your interpretation will appear here.

Quick Summary

Your summary will appear here.

Plot

Free covers a basic single-sample proportion and independent-samples t-test. Premium is better when you need more Bayesian options, clearer write-up support, or less guesswork around the finer details.

What Premium does better
  • Free: quick Bayes factor checks for two simple cases
  • Premium: broader Bayesian support, more control, and stronger write-up value
  • Premium: better suited to repeated coursework use and more serious reporting

Bayeslens Lite

Use Bayeslens Lite for quick Bayesian checks in psychology and social science work. This free Bayesian calculator offers simple Bayes factor support for common cases without dragging you into a full statistical existential crisis.

Disclaimer: BayesLens is intended for educational and instructional use only. While it implements exact Bayesian calculations (Rouder et al., 2009), users are responsible for interpreting the results appropriately within their academic or professional context. Always consult with a qualified instructor or statistician before using these results for formal publication or decision-making.

Reference: Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237.

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