The ultimate revision package for IB Mathematics: Applications and
Interpretation Higher Level students. Everything you need to prepare
for your final exams in one professionally designed bundle from SAMZHUB.
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📦 WHAT’S INSIDE — 18 DOCUMENTS
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📝 FULL MOCK EXAM (6 files)
✅ Paper 1 (Calculator Allowed) — 110 marks | 2 hours
✅ Paper 1 Full Markscheme
✅ Paper 2 (Calculator Allowed) — 110 marks | 2 hours
✅ Paper 2 Full Markscheme
✅ Paper 3 (Calculator Allowed) — 55 marks | 1 hour
✅ Paper 3 Full Markscheme
Total mock exam practice: 275 marks across all three papers.
📚 TOPIC PRACTICE SETS (6 files — 3 sets with separate markschemes)
✅ Set 1: Statistics & Regression (24 marks)
— Descriptive statistics, hypothesis testing, t-tests,
regression, correlation, residuals
✅ Set 2: Graph Theory & Matrices (24 marks)
— Dijkstra’s algorithm, minimum spanning trees, Eulerian
paths, transition matrices, Markov chains, steady states
✅ Set 3: Differential Equations & Modeling (24 marks)
— Newton’s cooling, logistic growth, Euler’s method,
coupled differential equations, predator-prey models
Total practice set marks: 72 marks of focused topic practice.
📋 SUPPORTING DOCUMENTS (6 files)
✅ Student Revision Checklist — Topic-by-topic self-assessment
covering all AI HL strands including graph theory, matrices,
Markov chains, and coupled DEs. Includes GDC readiness section.
✅ Formula Sheet Summary — Original quick-reference summary of
all key AI HL formulas including financial math, statistics,
probability, graph theory, matrices, calculus, and DEs
✅ Exam Technique Guide — Paper-by-paper strategy for P1, P2,
and P3. GDC mastery section. Interpretation phrases guide.
Command terms. Common errors. Final 24-hour checklist.
✅ Grade Boundaries — Based on recent IB AI HL sessions with
grade descriptors and historical context
✅ Marking Spreadsheet — Printable marking grids for all three
papers, summary sheet, and grade distribution tracker
✅ Topic Analysis Template — Post-exam cohort analysis with bar
chart, individual student profile, and action plan
GRAND TOTAL: 347 marks of original practice material
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💡 WHY THIS BUNDLE?
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SAVE MONEY
• The mock exam alone costs $15 as a standalone product
• The practice sets and supporting documents add enormous value
• This bundle saves you over 45% compared to buying separately
RARE AI HL PAPER 3 PRACTICE
• Paper 3 for AI HL is a scaffolded statistical investigation
• This is one of the hardest components to find practice for
• Our Paper 3 covers regression, Spearman’s rank, chi-squared,
and critical reflection — exactly what the real exam tests
GDC-FOCUSED PREPARATION
• AI HL depends heavily on calculator skills
• Our materials show GDC commands explicitly throughout
• The formula sheet includes GDC function references
• The exam technique guide has a dedicated GDC mastery section
COMPLETE REVISION SYSTEM
1. Diagnose — use the checklist to find weak areas
2. Reference — use the formula sheet for quick review
3. Practice — use the topic sets to build skills
4. Test — take the mock exam under timed conditions
5. Analyze — use the marking tools to understand performance
6. Plan — use the topic analysis template to target next steps
AI HL-SPECIFIC CONTENT
Unlike generic IB math resources, this bundle covers topics
unique to AI HL:
• Graph theory (Dijkstra, Prim, Kruskal, Chinese Postman, TSP)
• Voronoi diagrams
• Transition matrices and Markov chains
• Steady-state distributions
• Chi-squared tests (goodness of fit and independence)
• t-tests
• Spearman’s rank correlation
• Coupled differential equations (predator-prey)
• Phase portraits and slope fields
• Multiple regression and R²
• Statistical investigation methodology
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📊 TOPICS COVERED
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NUMBER & FINANCIAL MATHEMATICS
• Arithmetic and geometric sequences
• Compound interest and financial modeling
• Exponential growth and decay
STATISTICS & PROBABILITY
• Descriptive statistics (mean, SD, IQR, outliers)
• Probability (conditional, Bayes’ theorem)
• Binomial and normal distributions
• Chi-squared tests (GOF and independence)
• t-tests (one-sample)
• Linear and non-linear regression
• Pearson’s r and Spearman’s rank correlation
• Multiple regression and R²
• Statistical investigation skills
GEOMETRY & GRAPH THEORY
• Voronoi diagrams
• Dijkstra’s shortest path algorithm
• Minimum spanning trees (Prim’s and Kruskal’s)
• Eulerian paths and circuits
• Hamiltonian paths
• Chinese Postman problem
• Traveling Salesman problem
CALCULUS & DIFFERENTIAL EQUATIONS
• Differentiation and rates of change
• Optimization in context
• Integration and area under curves
• Differential equations (separable)
• Euler’s method
• Logistic model
• Newton’s law of cooling
• Coupled differential equations
• Phase portraits and slope fields
MATRICES
• Matrix operations (GDC)
• Solving systems using inverse matrices
• Transition matrices
• Markov chains
• Steady-state distributions
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👩🎓 WHO IS THIS FOR?
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• IB AI HL students preparing for May or November exams
• Students targeting Grade 6 or 7
• Students who want Paper 3 statistical investigation practice
• Students who need to improve their GDC skills
• Teachers who need a complete AI HL assessment package
• IB tutors looking for original AI HL materials
• Students who struggle with graph theory or Markov chains
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📁 FORMAT
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• Digital download — PDF format
• 18 files organized in folders, delivered as a single ZIP
• Includes a README with usage instructions and GDC tips
• Instant delivery after purchase
• No physical product will be shipped
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This work is an independent publication and has not been authorized,
sponsored, or otherwise approved by the International Baccalaureate
Organization (IBO).