Two papers, one grade, and a preparation gap that rarely announces itself. In IB Math Analysis & Approaches SL, Paper 1 and Paper 2 look equivalent on a timetable but demand fundamentally different skills. Paper 1 is a 90-minute no-calculator paper that rewards algebra, exact-value trigonometry, and written reasoning. Paper 2 allows full graphic display calculator (GDC) use and tests whether you can choose a model, set it up correctly on paper, and record enough working for the calculator to support your method rather than substitute for it.
Treating them as the same exam is where many students slip. Heavy calculator practice makes Paper 1 feel harsher than it should, because the gap is non-calculator fluency and written structure, not coverage. The practical result: effort misallocated toward calculator drills that Paper 1 can’t reward, fluency gaps that compound under time pressure, and a cluster of accessible, repeatable marks on both papers that never gets converted.
Mark Distribution Insights
Marks are unevenly distributed across AA SL topics, and the split between papers makes that unevenness consequential. Across 330 questions and 2,960 marks spanning 18 exam sittings, a Photon Academy analysis finds calculus the single biggest contributor at about 27.7% of total marks, with optimization and integration the most frequently tested skills. That makes core calculus a first-wave revision priority for both papers—strengthening differentiation, integration, and basic optimization unlocks a large, recurring slice of total marks.
Statistics, meanwhile, is noticeably more concentrated on Paper 2 than Paper 1—about 23% of Paper 2 marks against roughly 18% of Paper 1. Geometry and trigonometry together sit near 19% of marks each year, sequences appear in every sitting, and the share of functions questions has eased from roughly 17% down to about 14%. Since 2024, there has also been a shift toward more guided questions with smaller-mark sub-parts and clearer entry points, particularly in extended Section B items—which puts a premium on securing the early sub-parts of longer questions before the steps get demanding.
That topic split has a direct implication: the calculus and trigonometry concentration makes non-calculator fluency the higher-leverage gap to close for Paper 1, while the statistics overweight on Paper 2 makes model-setup discipline the work that actually decides marks.
Accessibility Scorecard
Not all marks are equally accessible, even within the same topic. Accessibility has three measurable properties: the question structure recurs in a recognizable template; method marks are available for clear intermediate steps even when the final answer is wrong; and the skills are finite enough to offer a high return per revision hour. The 18-sitting analysis confirms that core calculus and statistics questions—particularly on Paper 2—meet all three. The scorecard below turns that into a ranking tool; it identifies efficient revision targets, not a prediction of what any one paper will contain.
- Pick 6 recurring question-types you actually see in AA SL past papers—roughly 3 that tend to live on Paper 1 and 3 on Paper 2.
- For each type, score it 0 to 2 on four checks: it recurs across multiple sittings; its steps follow a recognizable template; it awards method marks even when the final number is wrong; and you can execute the setup cleanly under that paper’s conditions (non-calculator fluency for Paper 1, documented setup plus GDC for Paper 2).
- Add the four check-scores to get a total out of 8 and rank the list; the highest totals are your most efficient floor-building targets.
- For each chosen type, complete two timed attempts; once you’re consistently earning about 80% of available marks on both, treat that type as ‘floor secured’ and move effort to the next-highest-scoring target.
Knowing which question-types are secured is the easier half of this—knowing what combined score those secured types need to produce to clear a meaningful grade boundary is what converts a ranked list into an actual plan.
Prioritizing Based on Grade Boundaries
Grade boundary data for AA SL falls within a predictable enough range to anchor a revision plan. Across the 2021–2025 sessions, the average Grade 7 boundary sits at about 74.4% and the average Grade 5 boundary at about 44.5%, with Grade 7 thresholds since 2022 typically landing between 70% and 79%. For upcoming sessions, a practitioner analysis from Photon Academy expects a high-grade boundary in the low-to-mid-70s percent range, while stressing that exact values shift from sitting to sitting. Treat these as planning ranges, not guarantees—they give you a floor to aim at, not a ceiling to clear.
To translate those percentages into actual targets, find the total marks available on the two written papers—it’s on the cover of each paper or mark scheme. Multiply by your planning percentage: roughly 44.5% for a Grade 5 floor, low-to-mid-70s for Grade 7 territory. Do this per paper rather than only in aggregate, because a combined target quietly hides the problem. If timed practice shows one paper trailing the other by 10–15 percentage points, the weaker paper is where the grade bottleneck actually lives—shift extra revision time toward its accessible clusters until that gap narrows.
Securing the floor is a rational quantitative strategy, not a lack of ambition. A student who reliably collects accessible marks in Section A and the early sub-parts of Section B can accumulate a large proportion of the marks needed for a Grade 5—and a significant slice of the roughly 30-percentage-point gap up to a typical Grade 7 boundary—before touching the hardest Section B items. That’s the core asymmetry. The highest-difficulty parts of long questions produce fast-diminishing returns for most students under time pressure, so an accessibility-first approach builds a buffer against the unpredictability of any sitting’s toughest questions. A uniform reviser, spreading effort across all difficulty levels, risks collecting very little from the territory that cost the most time.
Paper 2: The Importance of Documentation
The most common avoidable error on Paper 2 isn’t a conceptual gap—it’s a documentation one. Many students type values into the calculator, write down the final number, and move on. Paper 2 mark schemes, however, frequently allocate method marks to what appeared on the page before the calculator was touched: the function or model chosen, the variables defined, the equation, integral, or probability statement set up. When that setup is missing, those marks are unavailable—even if the answer happens to be numerically correct.
The difference is clearest in a direct comparison of two habits. A mark-losing line reads ‘Using calculator: 0.274’—no model, no distribution, no indication of what mathematical task produced that number. A method-protecting minimum looks more like ‘Let X be … with model …; find P(X…) using the GDC’ or ‘Solve f(x) = 0 using the GDC,’ where the mathematical task is stated before the calculator executes it. Because statistics questions are more concentrated on Paper 2 than Paper 1, this kind of setup discipline gets tested repeatedly across the paper. The practical self-check: could someone reading your work understand what was computed without seeing the calculator screen? If your pages show setups and brief annotations, you’re protecting method marks. If they show only outputs, the gap is still there.
Implementing a Two-Paper Strategy
Paper 1 and Paper 2 are distinct exams that happen to share a qualification. Most of the available marks aren’t buried in the hardest Section B questions—they’re spread across guided, template-like question-types that respond directly to methodical, targeted practice. The topic split is identifiable, the grade-boundary ranges are quantifiable, and the Paper 2 documentation habit can be drilled in a single practice session. The gap between a scattered revision approach and a targeted one rarely comes down to raw mathematical talent. It comes down to knowing which marks are yours to take—and actually going to get them.
