Accurate analysis of Sports, Exercise and Health Science (SEHS) data is essential in your IA and exams. Understanding how to calculate, interpret, and evaluate statistics like mean and standard deviation—as well as monitor exercise intensity—will help you produce high-quality, credible scientific work.
Why Data Analysis Matters in IB SEHS
In SEHS, whether you're studying biomechanics, physiology, or training responses, analyzing real data helps support predictions and evaluations. Statistical evidence strengthens your conclusions in IA and exam answers, demonstrating critical thinking and scientific rigor. RevisionDojo provides topic-aligned notes and structured flashcards to improve your analytical skills
Key Statistical Measures in SEHS
Calculating Mean and Standard Deviation
To summarize a dataset—like vertical jump heights, blood pressure values, or heart rates—you use the formulas:
- Mean = (Sum of values)/(Number of values)
- Standard deviation measures how spread out the data are around that mean. Learn example calculations and practice structured datasets via RevisionDojo’s IB SEHS notes and flashcards
Comparing Data Sets Using SD
Standard deviation is especially useful when comparing groups: it tells you which group is more consistent or has greater variability. For instance, one team’s heart rate range vs another’s enables valid comparisons in IA analysis
Monitoring and Evaluating Exercise Intensity Data
Exercise Intensity Monitoring Methods
In IB SEHS, you must outline and evaluate ways to monitor exercise intensity, such as:
- Heart rate zones, percentage of max HR
- Borg RPE scale, lactate threshold, VO₂ measurementsRevisionDojo provides reliable core notes to frame this data collection and monitoring explanation in your IA or exam responses
