Bayesian P vs Probability Theory Foundations

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

Probability Theory Foundations is an independent study app for learners who want structured practice in core probability ideas, problem-solving habits, and exam-style reasoning. Built for students, self-learners, and anyone reviewing fundamentals, the app includes 160 questions across Fundamentals, Practical Skills, Common Pitfalls, and Advanced Concepts. Every question includes an explanation so you can understand why an answer works, not just whether it was right. Features: - FSRS spaced-repetition intervals to help review at the right time - Weak-point heatmap to spot topics that need attention - Daily challenge for consistent practice - Mock exams for timed review - Offline practice with no login required - Explanations for every question Practice offline, no login required. Independent study app for Probability Theory Foundations practice. Not affiliated with, endorsed by, or sponsored by any company, certification body, exam operator, or vendor. All trademarks belong to their respective owners.