RadWise Exam Validity Study
Data-driven proof that RadWise prepares you for the real thing.
Based on analysis of 45 valid user exam submissions and the November 2025 sitting pass mark (64.4%). Updated 18.02.2026
Mastery-Based Score Predictor
Estimate your exam outcome using our regression model.
Predicted Exam Score: --%
The "Safe Zone" Analysis
Probability of passing based on RadWise Mastery Score
Key Finding: Users scoring above 67% (Mastery) had a 100% pass rate (27/27 candidates). Scores below 63% represent a significantly higher risk.
Does Revision Work?
Predictive accuracy improves with practice
Your Mastery Score (r=0.839) is a statistically stronger predictor of your exam result than your First Pass (r=0.787).
Strongest Indicators
Which question types matter most?
The "Curiosity" Factor
Our data uncovered a fascinating trend: Passive study isn't enough.
Users who actively used the AI Assistant to ask follow-up questions saw a measurable increase in their exam performance.
Impact: For every 5 AI queries per user, exam scores increased by an average of +1.56%.
Start Asking QuestionsDisclaimer: This analysis is based on historical data from 45 candidates. While the correlation is statistically significant (p < 0.05), individual results may vary. This tool should be used as a revision aid, not a guarantee of exam performance. We accept no responsibility for this tool's output.