MATHEMATICS-APPLICATIONS-AND-INTERPRETATION · IB Diploma Programme
MATHEMATICS-APPLICATIONS-AND-INTERPRETATION/11
Paper 1
Mathematics Applications and Interpretation · June 2024 · Variant 1
Relative difficulty
Analysis source: International Baccalaureate Organization
Analysis aligned to the official syllabus and assessment design.
3.2 / 5
160
180 min
Bivariate Statistics & Probability Distributions
Cohort performance
Session statistics from official examination reports
Total marks
160
Duration
180 min
Session difficulty
3.2 / 5
Key examiner messages
Top priorities from the principal examiner before you revise
As has been the trend with the AI syllabus, Statistics and Probability took center stage, accounting for almost half of the total marks available.
Key areas included bivariate data regression, normal and binomial distributions, and hypothesis testing.
Students who mastered their Graphic Display Calculator (GDC) settings for the t-test and chi-squared goodness of fit tests found a clear path to high marks.
Conversely, Functions saw a lighter distribution, leaving substantial room for future papers to test exponential and logarithmic models more thoroughly.
Compare difficulty across recent years. Compare topic weight by year to spot recurring and returning areas.
Question difficulty map
How candidates performed on each question in this series
No data available in official reports
Assessment objectives
Skill and AO weighting from official examiner commentary
Skill weighting
Shows the skill mix this paper tested most heavily.
Technology Literacy
Weight: 9100%Mathematical
Weight: 778%Algebraic Manipulation
Weight: 667%Analytical reasoning
Weight: 444%Spatial Visualization
Weight: 222%
Method marks watchlist
Where working, steps, or method marks were commonly lost
No data available in official reports
Recurring mistakes across years
Themes examiners flag in multiple recent sessions for this subject
No data available in official reports
Question choice intelligence
Mean scores and popularity for optional questions (HKDSE electives)
No data available in official reports
Level exemplars
What candidate scripts at each grade level looked like
No data available in official reports
Grade & admission context
How marks relate to grade thresholds and entry standards
Report type
IB subject report — grade distributions, IA weighting, and HL/SL distinctions
Level 7
Excellent — top band for competitive university offers
Level 6
Very good — strong HL performance
Level 5
Good — solid pass at higher level
Level 4
Satisfactory — minimum for many university credits
Level 3
Mediocre
Level 2
Poor
Level 1
Very poor
Deep insights
What top candidates did
Techniques and approaches examiners rewarded in this series
No data available in official reports
Command word playbook
How to match each command word to the expected response style
Match the expected response style for “Find” questions.
Match the expected response style for “down” questions.
Match the expected response style for “State” questions.
Match the expected response style for “that” questions.
Match the expected response style for “Draw” questions.
Give reasons and link mechanism to outcome; each point needs a because/so chain.
Time traps
Sections where candidates spent disproportionate time relative to marks
Min per mark: 1.2
Min per mark: 1.1
Min per mark: 1.1
Min per mark: 1.1
Min per mark: 1.1
Min per mark: 1.1
Syllabus traceability
Topics linked to questions and mark weighting in this session
Statistics and probability
73 marks this session
Calculus
42 marks this session
Number and algebra
21 marks this session
MCQ trap analytics
Commonly chosen wrong options from examiner commentary
No data available in official reports
Topic heatmap across years
Mark concentration by topic and exam year for this subject
Mark intensity
Statistics and probability
Calculus
Number and algebra
Geometry and trigonometry
Functions
Difficulty trend
How session difficulty has shifted across recent years
Paper comparison
Marks and duration breakdown across papers in this session
Paper 1 (Standard Level):
Paper 2 (Standard Level):
Marks you can still earn
Where valid approaches outside the mark scheme may still gain credit
- Incorrect alternative hypothesis notation in the t-test (using sample means like x-bar instead of population mean symbols like mu).
Practise what examiners flagged
Target weak topics from this report inside the Revui app
Statistics and probability
73 marks this session
Practise in RevuiCalculus
42 marks this session
Practise in RevuiNumber and algebra
21 marks this session
Practise in RevuiSelf-diagnostic checklist
Key actions before you sit this paper — copy and tick off as you revise
- 1Message
As has been the trend with the AI syllabus, Statistics and Probability took center stage, accounting for almost half of the total marks available.
- 2Message
Key areas included bivariate data regression, normal and binomial distributions, and hypothesis testing.
- 3Message
Students who mastered their Graphic Display Calculator (GDC) settings for the t-test and chi-squared goodness of fit tests found a clear path to high marks.
- 4Message
Conversely, Functions saw a lighter distribution, leaving substantial room for future papers to test exponential and logarithmic models more thoroughly.
- 5Message
Compare difficulty across recent years. Compare topic weight by year to spot recurring and returning areas.
Teacher briefing pack
One-page session summary for tutors and classroom review
June 2024 2024
Mathematics Applications and Interpretation
As has been the trend with the AI syllabus, Statistics and Probability took center stage, accounting for almost half of the total marks available. Key areas included bivariate data regression, normal and binomial distributions, and hypothesis testing. Students who mastered their
As has been the trend with the AI syllabus, Statistics and Probability took center stage, accounting for almost half of the total marks available.
Key areas included bivariate data regression, normal and binomial distributions, and hypothesis testing.
Students who mastered their Graphic Display Calculator (GDC) settings for the t-test and chi-squared goodness of fit tests found a clear path to high marks.
- Total marks
- 160
- Duration
- 180 min
- Session difficulty
- 3.2 / 5
Session analysis
As has been the trend with the AI syllabus, Statistics and Probability took center stage, accounting for almost half of the total marks available. Key areas included bivariate data regression, normal and binomial distributions, and hypothesis testing. Students who mastered their Graphic Display Calculator (GDC) settings for the t-test and chi-squared goodness of fit tests found a clear path to high marks. Conversely, Functions saw a lighter distribution, leaving substantial room for future papers to test exponential and logarithmic models more thoroughly.
Updated Jun 14, 2026
Paper breakdown
Paper 1 (Standard Level):
Paper 2 (Standard Level):
Top chapters
Exam structure insights
Marks by chapter
See where the marks were concentrated so revision time goes to the highest-value topics.
Mark accessibility
Estimate which marks were basic, mid-level, or high-difficulty.
81% within easy or medium reach
Command word frequency
Spot common command words so answers match the expected response style.
Question type mix
Compare the mark share of each paper section and question type.
Paper 1)
80·12·50%
Paper 2)
80·5·50%
Study ROI
Bigger bubbles recur more often; higher bubbles carry more marks, helping you rank revision priorities.
Time vs marks
Compare marks with suggested time allocation to plan exam pacing.
Paper 1 Questions 1…
0.89 m/minPaper 1 Questions 7…
0.90 m/minPaper 2 Question 1 …
0.88 m/minPaper 2 Question 2 …
0.87 m/minPaper 2 Question 3 …
0.92 m/minPaper 2 Question 4 …
0.88 m/minTotal marks
122
Total time
137 min
Avg pace
0.89
Next-year prediction
Topics worth watching next year, with the reason shown directly below each bar.
Functions & Trigonometric Modelling
5%5%
3D Geometry & Right-Angled Trig
4%4%
Examiner notes & key calculations
- Early Rounding Errors: Many candidates lost accuracy marks by rounding intermediate values (like the gradient or common ratio) to 3 significant figures too early. Always carry the full calculator value through your calculations and round only at the very end.
- GDC 'Black Box' Writing: When using the GDC financial app or normal cumulative distribution functions, examiners want to see your parameters (e.g., N,I%,PV,PMT,FV N, I\%, PV, PMT, FV N,I%,PV,PMT,FV or the lower/upper bounds). Writing just the final answer risks losing all method marks if a minor input error is made.
- Hypothesis Notation: In the t-test question, writing alternative hypotheses using sample statistics (like xˉA≠xˉB \bar{x}_A \neq \bar{x}_B xˉA=xˉB) instead of population parameters (μA≠μB \mu_A \neq \mu_B μA=μB) remains a classic trap that leads to lost marks.
Exam tips
Paper format
- Duration
- 2h
- Total marks
- 110
Analysis is paraphrased for study purposes. Always verify against the official examiner report and mark scheme.