# Bayesian P-Value Interpreter

> Interpreting p-values

Canonical page: [https://chrome-stats.com/d/id6753958115](https://chrome-stats.com/d/id6753958115)

## Overview

- **ID:** `id6753958115`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Samuel Kaplan
- **Category:** Education
- **Rating:** 5.00 / 5 (3 ratings)
- **Version:** 2.5
- **Last updated:** 2026-06-19
- **First published:** 2026-02-05
- **Size:** 7.48 MB
- **Data as of:** 2026-09-27
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/bayesian-p-value-interpreter/id6753958115)
- **Website:** [https://analytixthinking.blog](https://analytixthinking.blog/)
- **Privacy policy:** [https://analytixthinking.blog](https://analytixthinking.blog/)

## Description

Transform p-values into meaningful probabilities using Bayesian statistics. Built-in guided tour, interactive gauge, and sequential analysis for multi-study evidence.

Calculate probability of outcomes of clinical trials, by interpreting reported p-values in the context of scientific expectations, using prior probabilities of outcomes and Bayesian thinking.

· p-values are frequently misused and misinterpreted ( see American Statistical Association statement on p-values)

· Bayesian inference aids interpretation of p-values with reference to prior knowledge of the probability of the experimental outcome

· P-value Interpreter permits realistic interpretation of reported p-values from user entered pre-trial probabilities of clinical trial outcomes and p-values for single and sequential trials

· "Learn more" buttons lead to explanations of prior probabilities, p-values and Bayesian probabilities employed in calculating the direct probability of the trial outcomes (e.g. null hypothesis being false), illustrated with examples

## Rankings

- #566,003 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6753958115)