Bayesian Statistics Calculators Online
Bayes factors quantify how much more likely the data are under one hypothesis than another, and can show evidence for the absence of an effect. These tools use the default priors of JASP and the BayesFactor package and report posterior distributions with credible intervals.
Bayesian T-Test Calculator
JZS Bayes factor t-test for independent, paired or one-sample designs, with the posterior of the effect size and a robustness check.
Replaces JASP · SPSSBayesian Correlation Calculator
Bayes factor for a Pearson correlation with the posterior distribution of ρ and its credible interval.
Replaces JASPBayesian One-Way ANOVA
Bayes factor for differences among group means (JZS g-prior), with Bayesian post hoc comparisons and a robustness check.
Replaces JASP · SPSSBayesian Linear Regression
Bayes factors for regression models and predictors, posterior inclusion probabilities, model averaging and coefficient credible intervals.
Replaces JASP · SPSSBayesian A/B Test Calculator
Probability that variant B beats A, expected uplift with a credible interval and expected loss, from conversions and visitors.
Replaces VWO · OptimizelyBayesian Binomial Test
Bayes factor for a proportion against a test value, with the Beta posterior, credible interval and HDI.
Replaces JASPBayes Factor Calculator
Convert a published t statistic, correlation or BIC values into a Bayes factor, with a robustness plot.
Replaces JASPBayes’ Theorem Calculator
Posterior probability from a prior (base rate), sensitivity and false positive rate, with natural frequencies.
Replaces SpreadsheetBayesian T-Test Calculator
Use it instead of, or alongside, a classical t-test when you want to state how strongly the data support an effect or the absence of an effect. Unlike a p-value, a Bayes factor can show evidence for the null hypothesis.
Bayesian Correlation Calculator
Use it to quantify the evidence for or against a linear association between two continuous variables, including evidence that two variables are unrelated.
Bayesian One-Way ANOVA
Use it to compare three or more group means when you want evidence for or against group differences, for example to support a claim that conditions did not differ.
Bayesian Linear Regression
Use it to decide which predictors matter, compare competing regression models, or average conclusions over models instead of relying on a single stepwise selection.
Bayesian A/B Test Calculator
Use it to evaluate website, email or product experiments with a binary outcome (converted or not), when you want direct probabilities such as “B is better with 97% probability” rather than a p-value.
Bayesian Binomial Test
Use it to test whether a success rate, pass rate or preference share differs from a benchmark such as 50%, or to estimate a proportion with a credible interval.
Bayes Factor Calculator
Use it to express published or already-computed results as Bayes factors, for example when reviewing a paper, writing a meta-analysis or checking whether a non-significant result supports the null.
Bayes’ Theorem Calculator
Use it for diagnostic tests (probability of disease after a positive test), spam filters, forensic evidence, or any question of how much new evidence should change a belief.
Other categories
Data cleaning and preparation · Describe and explore · Compare means · Nonparametric tests · Correlation and regression · Categorical data · Reliability and agreement · Multivariate analysis · Structural equation modeling · Econometrics and time series · Panel data and causal inference · Marketing and decision research · Survival, clinical and meta-analysis · Study planning and calculators · PLS-SEM