IB Mathematics: Applications and Interpretation, papers and statistics
IB Maths AI: Statistics
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IB Maths AI assessment
| Component | What it is | SL | HL |
|---|---|---|---|
| Paper 1 | Technology allowed. Compulsory short-response questions | 1.5 h, 40% | 2 h, 30% |
| Paper 2 | Technology allowed. Compulsory extended-response questions | 1.5 h, 40% | 2 h, 30% |
| Paper 3 (HL only) | Technology allowed. Two compulsory extended-response problem-solving questions | n/a | 1 h, 20% |
| Exploration (internal) | Written work investigating an area of mathematics | 20% | 20% |
These details are from the IB's AI subject brief for the course first assessed in 2021. The IB says the current AI and AA courses are last examined in November 2028, with a new curriculum taught from 2027 and first assessed in 2029.
IB Maths AI topics
| Topic | Hours SL | Hours HL |
|---|---|---|
| Number and algebra | 16 | 29 |
| Functions | 31 | 42 |
| Geometry and trigonometry | 18 | 46 |
| Statistics and probability | 36 | 52 |
| Calculus | 19 | 41 |
| Investigation, problem-solving, modelling and the exploration | 30 | 30 |
Compared with AA, AI spends more time on statistics and functions and less on algebra, geometry and calculus, and technology is allowed in every paper. AI and AA share 60 hours of common SL content. Our IB Maths AA guide covers the other course.
IB Maths exam dates 2027
The IB's May 2026 schedule says the May 2027 exams will run from Friday 23 April to Wednesday 19 May 2027, with no exams on 1 May, subject to confirmation. Your IB coordinator has the subject-by-subject timetable for your zone.
IB grades and points
Each subject is graded from 1 to 7. Six subjects at up to 7 points each, plus up to 3 points from theory of knowledge and the extended essay, make a maximum of 45. The IB says the diploma needs at least 24 points and that other conditions must also be met. Grade boundaries are set for each subject after every session, so a raw mark from one year doesn't map exactly onto the next. Our IB mocks guide explains how points add up and how predicted grades work.
Worked examples in statistics
Mean and standard deviation
For the data 4, 7, 7, 9, 13, the mean is 40 ÷ 5 = 8. The squared deviations add to 16 + 1 + 1 + 1 + 25 = 44, so the standard deviation (treating the data as the whole population) is √(44 ÷ 5) ≈ 2.97. In the exam your calculator does this for you, but you still need to know what it means.
The normal distribution
Heights are modelled as X ~ N(170, 8²) in cm. The probability that a person is taller than 182 cm is:
The binomial distribution
If X ~ B(10, 0.3), then P(X = 2) = ¹⁰C₂ × 0.3² × 0.7⁸ = 45 × 0.09 × 0.0576 ≈ 0.233.
Interpreting correlation
A Pearson correlation coefficient of r = 0.92 between hours of revision and test score shows a strong positive linear correlation. It does not show that revision causes the higher scores, and the regression line should only be used to predict within the range of the data.
Answer a normal distribution question in our Probability course, then press Mark to check your answer in the course:
Pick the empirical-rule percentage for a shaded region of a normal curve.
Press Mark to have your answer marked in the Probability course.
Use the daily paper as a short timed mock
Uni-Sine publishes a free daily paper for IB Maths AI: Statistics. Each is a short timed mock: 8 questions worth 25 to 35 marks, with a suggested 35 to 45 minutes, marked when you finish. It is not a full IB paper, and the questions are original, not past papers.
- What it covers well: data presentation, measures of location and spread, probability, Venn diagrams and conditional probability, the binomial and normal distributions, correlation and regression, sampling and hypothesis testing.
- What it does not cover: the rest of the AI course: number and algebra, functions and modelling, geometry and trigonometry, and calculus. It also misses HL Paper 3 and the exploration, so use it for statistics practice alongside full past papers.
For full papers under exam conditions, use IB past papers from your teacher, and read our IB mocks guide for how mocks feed your predicted grades.
Common mistakes in IB Maths AI
- Writing only the calculator answer. Show the distribution and parameters you used.
- Confusing correlation with causation. Say what the coefficient shows and what it doesn't.
- Extrapolating. Predictions outside the data range are unreliable.
- Rounding too early. Keep full calculator values until the final answer.
Common questions
Is IB Maths AI easier than AA?
What are the IB Maths AI HL papers?
How much of IB Maths AI is statistics?
Can I use a calculator in IB Maths AI?
Is IB Maths AI changing?
Revision cards
Say the answer first, then flip the card to check it.
Where to go next
- Solve it
Standard Deviation Calculator
Find the standard deviation and variance of any data set
Open the tool - Learn it
Probability
Distributions, expected values and the maths behind uncertainty
Start the course - Test it
IB Maths AI: Statistics
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