Bayesian T-Test Calculator
Effortlessly compare the means of two groups using Bayesian statistics. Get insights with posterior distributions, credible intervals, and Bayes factors.
Enter the data for the first sample, separated by commas.
Enter the data for the second sample, separated by commas.
Enter the prior mean and standard deviation, separated by a comma.
Posterior Distribution
Credible Interval
Bayes Factor
Visualization
Visualization will be implemented here.
Understanding Bayesian T-Test
The Bayesian T-Test is a statistical method used to compare the means of two groups, similar to the traditional t-test, but within a Bayesian framework. Instead of providing a p-value, it yields a posterior distribution for the difference in means, credible intervals, and Bayes factors.
- Posterior Distribution: Represents the probability distribution of the difference in means after considering the data and prior beliefs.
- Credible Interval: A range within which the true difference in means is likely to fall with a certain probability (e.g., 95%).
- Bayes Factor: Quantifies the evidence in favor of one hypothesis over another. A Bayes factor greater than 1 suggests evidence for a difference between the groups.
This tool helps you perform a Bayesian T-Test by inputting your sample data and prior beliefs, providing a richer understanding of the differences between your groups compared to traditional methods.