The night before a deadline, every spreadsheet starts to feel personal. The numbers aren’t just numbers anymore -- they’re a verdict. And in IB SEHS, that pressure hits hardest when you have to analyze data, justify your statistics, and then evaluate your study like you meant to design it that way all along.
The good news: most students don’t lose marks because their data is “bad.” They lose marks because they don’t explain what their data means, why they used a method, and what their results do (and don’t) allow them to claim. That’s a skill you can train.
IB SEHS stats week comic
The IB SEHS data analysis checklist (use this every time)
Before you touch conclusions, run this quick loop:
Define your variables clearly (IV, DV, units, conditions).
Calculate descriptive statistics (mean, standard deviation, maybe coefficient of variation).
Choose the correct inferential test (paired t-test, unpaired t-test, or correlation).
Visualize the result (scatterplot or bar chart with error bars).
Interpret significance (often p ≤ 0.05) without overclaiming.
Evaluate limitations and improvements (validity, reliability, control of variables).
Correlation is for relationships between two continuous variables (e.g., VO₂ max and time trial performance). Report r and interpret strength and direction. If you include r², explain it as “variance explained,” not “proof.”
Presenting IB SEHS data clearly (so markers trust you)
Clean reporting is quiet persuasion. In IB SEHS, aim for:
Mean ± SD for each condition (with units every time).
Graphs that match the question:
Scatterplot for correlations.
Bar chart with error bars for condition comparisons.
Axes labeled with variable name and unit.
Emotional support error bars comic
To build speed, use RevisionDojo Flashcards for definitions and thresholds (p-value, validity, reliability), then test immediately: IB Flashcards with spaced repetition.
Evaluation tips that score: interpret like a scientist, not a fan
Evaluation is where you prove maturity. Try this structure:
What happened? Summarize the pattern (increase/decrease/no change).
What does it suggest? Link to SEHS theory (energy systems, biomechanics, physiology).
What can’t you claim? Especially if results are non-significant or confounded.
Why might this have happened? Measurement error, sample size, uncontrolled variables.
How would you improve it? Specific upgrades: tighter protocol, calibrated equipment, more trials, better randomization.
The best IB SEHS analysis feels calm because it’s methodical: you choose a test that matches your design, present data so a stranger can follow it, and evaluate results with honesty. That’s exactly what RevisionDojo is built to train -- with Study Notes, Flashcards, a Questionbank, AI Chat, Grading tools, Predicted Papers, Mock Exams, a Coursework Library, and Tutors to push you from “I did stats” to “I can defend my stats.”
If you want one action step today, open the IB SEHS hub, pick one stats-related subtopic, and run the loop: notes -- flashcards -- question practice. Consistency beats cramming, especially when your spreadsheet starts feeling personal again.
Claire holds a Doctorate in Francophone Literature from the Sorbonne Nouvelle and has taught IB French for 16 years, including six as Head of Modern Languages. Her focus is IB French Paper 1 and Paper 2, coaching students through unseen text analysis and the comparative literary essay.
