RadWise Exam Validity Study
Data-driven proof that RadWise prepares you for the real thing.
Based on analysis of 59 valid user exam submissions and a 63.5% pass mark. Updated 16.05.2026
Advanced Multi-Factor Predictor
Estimate your exam outcome using an ensemble model combining your mastery and first-pass scores.
Predicted Exam Score: --%
*Note: The RCR adjusts the real pass mark per sitting based on the difficulty of the paper. We use the historical average to provide a baseline prediction.
Predicted Exam Score: --%
The "Safe Zone" Analysis
Probability of passing based on RadWise Mastery Score
Key Finding: Users scoring above 67% (Mastery) had a 97.5% pass rate (39/40 candidates). Scores below 63% represent a significantly higher risk.
Does Revision Work?
Predictive accuracy improves with practice
Your Mastery Score (r=0.835) is a statistically stronger predictor of your exam result than your First Pass (r=0.757).
Strongest Indicators
Which question types matter most?
The Power of Practice
Our multiple regression analysis confirms that: Volume is an independent predictor of success.
Even when controlling for a candidate's baseline performance, there is a statistically significant link between the total number of questions attempted and ultimate success on exam day. Putting in the reps directly translates to results.
Impact: For every 100 additional questions answered, candidates saw their real exam scores increase by an independent average of +1.1%.
Statistical Correlation: r = 0.28
(Multiple Regression: p = 0.0209)
Disclaimer: This analysis is based on historical data from 59 candidates. While the correlation is statistically significant (p < 0.0001 ), 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.