Paper 3 guide · Applications and interpretation HL

IB Math AI HL Paper 3 in 4 steps

9 kinds of question come up again and again. Learn to spot each one and the method that earns the marks. About 45 minutes from start to finish.

  • 1 hourto answer
  • 55marks
  • 2long questions
  • 20%of your grade
  • GDCallowed
0 of 4 done
Know the paperWhat Paper 3 is and the arc every question follows3 min

Paper 3 is one hour long and worth 55 marks. It has two extended questions, each worth between 24 and 31 marks, and a GDC is allowed. It is 20% of your HL grade. Paper 1 is 30%, Paper 2 is 30% and the internal assessment is 20%.

Papers 1 and 2 test topics one at a time. Paper 3 gives one real-looking situation and takes you through it in 4 to 11 lettered parts, 7 on average. A study, a pair of lakes, a delivery network, a growth table: you model it, compute with the GDC and then say what the numbers mean.

Interpretation carries as many marks as arithmetic. A correct test statistic with no sentence in context loses marks. Each answer needs the model or test named, the value, and a sentence with units. Never write calculator keystrokes as your answer.

Notes alone do not train this. You need to sit a whole question against the clock, write full reasons and see where marks go. Every question follows the same six-stage pattern, and the nine types below cover all 40 questions we read. A statistical test appears in 15 of the 40 and a differential equation in 10.

Every question follows the same arc

  1. OrientShort opening parts: a sketch, the first few terms, the name of a test. Later parts reuse these numbers, so do them carefully.
  2. StructureThe derivation everything rests on, usually a show that. Write a chain from what you know to the printed line.
  3. ExploreThe GDC earns the facts: vary a parameter, tabulate a sequence, run a regression or a test.
  4. DeduceThe pattern is proved or explained. This is where the proof and reasoning marks sit.
  5. GeneraliseThe longest parts. They repeat an earlier argument with letters, or add a twist such as a new starting value.
  6. InterpretOne or two marks for a sentence: a meaning, a comparison or a limit of the model. Reach it even after a bad middle.

Learn the 9 question typesHow to spot each one, the method and where marks go15 min

We sorted all 40 questions in 20 papers, from the specimen paper to May 2026, into 9 types. Most common first. Open one at a time.

Statistical tests and validity11 of 40 questions

A study gives data and a claim. You choose and carry out a test, check its conditions, compare it with a second test that repairs a weakness of the first, and criticise the design.

How to spot it

  • A table of observed counts, or paired measurements
  • "At the 5% significance level" or "state your hypotheses"
  • "Test whether" a distribution or a rate fits

The method

  1. Say how the data were gathered. The design decides the test.
  2. State $\mathrm{H}_0$ and $\mathrm{H}_1$ about a population parameter, in context.
  3. Name the test, then give the statistic and the $p$-value.
  4. Compare $p$ with the level and make a decision.
  5. Write the conclusion in words that refer to the situation.
  6. State one assumption and one weakness of the design.

Where marks are lost

  • Hypotheses written about the sample instead of the population.
  • The wrong degrees of freedom after merging cells or estimating a parameter.
  • A conclusion with no sentence in context.

On your GDC. The GDC runs every test in the suite. You earn marks for naming the test and writing the statistic, so write both. A bare value from the screen is not enough.

Practise this type: investigations with worked solutions ↗

Vectors, motion and shape5 of 40 questions

A moving object, or a solid shape, is described by vectors and lengths. You write position as a vector in $t$, find an angle or a closest approach, and optimise a dimension of the shape.

How to spot it

  • A velocity given as a column vector
  • "Closest approach" or "the angle between"
  • A container or prism with a cost or surface area

The method

  1. Put the picture into coordinates or vectors and label them.
  2. Write position as start plus $t$ times velocity.
  3. For closest approach, form the displacement and minimise its squared length.
  4. Use the scalar product for an angle and the vector product for an area.
  5. For a shape, use the constraint to leave one variable, then optimise.
  6. Justify the minimum and say what the model ignores.

Where marks are lost

  • Finding the time of closest approach and forgetting the distance.
  • No justification that a stationary point is a minimum.
  • Leaving out units, or giving an answer that cannot occur in the story.

On your GDC. Graph the distance or cost against $t$ or the dimension, and use the GDC minimum to check your calculus.

Practise this type: investigations with worked solutions ↗

Networks5 of 40 questions

A weighted network is given as a table or a diagram, with an algorithm to run step by step. Later parts bound a tour, plan a route that covers every road, and ask what changes when a rule changes.

How to spot it

  • A table of distances between places
  • "Minimum spanning tree", "travelling salesman" or "route inspection"
  • An adjacency matrix and walks of a given length

The method

  1. Draw or complete the network from the table.
  2. Run the algorithm in order and list the edges in the order you choose them.
  3. For an upper bound, find a tour. For a lower bound, delete a vertex and add its two cheapest edges to the tree.
  4. For route inspection, list every pairing of the odd vertices and choose the least.
  5. Build the adjacency matrix and raise it to a power for walks.
  6. Say what the result means for the people in the story.

Where marks are lost

  • Listing the edges of a tree without the order they were chosen.
  • Presenting a lower bound as if it were a tour.
  • Missing a pairing of odd vertices.

On your GDC. Use matrix powers on the GDC to count walks, then write the matrix you entered.

Practise this type: investigations with worked solutions ↗

Coupled systems and Euler4 of 40 questions

Two quantities change each other, such as pollution in two lakes. You read a term, write the matrix, find eigenvalues and eigenvectors, fit a solution, step with Euler's method and sketch the phase portrait.

How to spot it

  • Two equations, each with both variables on the right
  • "Euler's method with step size"
  • "Eigenvalues", "phase portrait" or "equilibrium"

The method

  1. Read each term: what flows in, what flows out.
  2. Write the system as a matrix, with one row for each equation, and check each sign.
  3. Find the eigenvalues, then one eigenvector for each.
  4. Fit the starting values to get the particular solution.
  5. Step with Euler's method: take both slopes from one row, then update both quantities.
  6. Sketch the portrait with the eigenvector lines and arrows, and criticise the model.

Where marks are lost

  • A sign wrong in the matrix, which spoils every later part.
  • Updating one variable before the other in an Euler step.
  • A sketch with no arrows or eigenvector lines.

On your GDC. Find eigenvalues and eigenvectors with the matrix tools, and build the Euler table row by row. Write both the matrix and the table.

Practise this type: investigations with worked solutions ↗

One rate law4 of 40 questions

One sentence describes how fast a quantity changes. You turn it into a differential equation, solve it with a starting value, fit its constant to readings and ask what happens in the long run.

How to spot it

  • "Rate of change is proportional to" or "inflow minus outflow"
  • A volume that depends on a radius or height
  • A table of readings and a request for the long-term level

The method

  1. Translate the sentence into an equation. Define each letter and its units.
  2. Use the chain rule if the quantity in the law is not the one you want.
  3. Separate the variables, integrate and use the starting value.
  4. Find the constant from a reading or a regression line.
  5. Solve for a time, or let $t$ grow for the long-term level.
  6. Say what the first law ignores.

Where marks are lost

  • The wrong sign when a quantity is leaving.
  • A constant found from rounded readings.
  • A long-term value with no meaning in the story.

On your GDC. Solve for $t$ numerically, graph the solution against the readings, and use Euler's method when the equation will not separate.

Practise this type: investigations with worked solutions ↗

Fitting growth models4 of 40 questions

A table of data and two or three candidate models. You describe the data, reject a model, linearise another with logarithms, read its parameters in context and compare fits.

How to spot it

  • A table of time and size with no formula
  • "Show that the relationship is linear after taking logarithms"
  • "Sum of squared residuals" or "doubling time"

The method

  1. Describe the trend and the rate of change in the data.
  2. Say why one model fails: it goes negative, has no ceiling or drifts.
  3. Take logarithms to turn the curve into a line.
  4. Run the regression and recover the parameters from the gradient and intercept.
  5. Read each parameter in context, such as a doubling time or a ceiling.
  6. Judge extrapolation outside the data.

Where marks are lost

  • Reading the gradient of the transformed line as the parameter itself.
  • Comparing fits that use different quantities.
  • Predicting far outside the data with no comment.

On your GDC. Regression and residuals are on the GDC. Write the model and its parameters, not the calculator output.

Practise this type: investigations with worked solutions ↗

Unfamiliar structures3 of 40 questions

A paragraph defines a new quantity, a rule or a small structure. You compute a small case, show a property, find an extreme value or apply the rule again and again, and finally say what the measure leaves out.

How to spot it

  • A defined index or score, introduced in the first paragraph
  • A rule whose output feeds back in as the next input
  • "Show that the total does not change"

The method

  1. Read the definition twice and underline what it asks.
  2. Put the smallest example into the definition by hand.
  3. Show a property by adding the changes or factoring out a scale.
  4. Find an extreme value by symmetry, calculus or a table.
  5. For a repeated rule, write the first few steps and find the pattern.
  6. Say what the number means and what it ignores.

Where marks are lost

  • Not working a small case, so the definition is misread.
  • A property shown for one example only.
  • An interpretation with no reference to the story.

On your GDC. Make a table of values of the new quantity to find an extreme or a pattern, then confirm it by hand.

Practise this type: investigations with worked solutions ↗

Markov chains2 of 40 questions

A system moves between states with fixed probabilities. You build the transition matrix, raise it to a power, find the steady state and compute a mean waiting time.

How to spot it

  • Probabilities of moving from one state to another
  • "After $n$ days" or "in the long run"
  • "Expected number of steps until"

The method

  1. Draw the states and label the transitions.
  2. Write the transition matrix and check that each column or row sums to 1.
  3. Raise it to a power for the state after $n$ steps.
  4. Find the steady state: the eigenvector for eigenvalue 1, scaled to sum to 1.
  5. For a waiting time, set up equations for the expected steps from each state.
  6. Say why the assumption of fixed probabilities might fail.

Where marks are lost

  • Using the transpose of the matrix the question needs.
  • A steady state that does not sum to 1.
  • Forgetting to state the initial state vector.

On your GDC. Matrix powers and eigenvectors on the GDC give the state after $n$ steps and the steady state. Write the matrix you entered.

Practise this type: investigations with worked solutions ↗

Voronoi diagrams2 of 40 questions

Sites are given on a plane, and each point belongs to the nearest site. You find perpendicular bisectors, vertices and cell areas, add a new site and decide which site serves a point.

How to spot it

  • "Voronoi diagram" or "nearest site"
  • Coordinates of sites on a grid
  • "Add a new site" or "the area of the cell"

The method

  1. Plot the sites and sketch the diagram first.
  2. Find the midpoint and the perpendicular gradient of each bisector.
  3. Solve two bisectors together for a vertex.
  4. Cut each cell at the boundary, then find the area by the shoelace formula or trapezia.
  5. Adding a site changes only neighbouring cells, so recompute those.
  6. Say what straight-line distance leaves out.

Where marks are lost

  • A bisector with the gradient of the segment instead of the perpendicular.
  • Cell areas that overlap or leave a gap.
  • Missing the boundary of the region.

On your GDC. Plot the bisectors to check the vertices, and use the GDC for the intersections.

Practise this type: investigations with worked solutions ↗

Work through one investigationScreen breaks at a call centre, 26 marks, part by part25 min

Screen breaks at a call centre · 26 marks

This question asks you to judge whether short screen-free breaks improve the reaction times of call-centre staff. Priya manages a call centre. She measures the reaction time, in milliseconds (ms), of eight members of staff on a computer task, gives each of them a ten-minute screen-free break, and measures them again. $$\begin{array}{|l|r|r|r|r|r|r|r|r|}\hline \text{Staff member} & A & B & C & D & E & F & G & H\\\hline \text{Before (ms)} & 312 & 298 & 335 & 290 & 305 & 321 & 287 & 342\\\hline \text{After (ms)} & 301 & 296 & 318 & 285 & 299 & 309 & 290 & 326\\\hline\end{array}$$

Try each part yourself first, then open its solution. M is a method mark, A accuracy, R reasoning and AG a given answer.

(a) Explain why Priya should analyse the differences, before minus after, rather than the two columns separately. [1]

Show the solution
  1. each person is measured twice, so the two columns are not independent; differences remove the person-to-person variationR1A paired design.

(b) Find the mean and the standard deviation of the differences. [2]

Show the solution
  1. differences $11,2,17,5,6,12,-3,16$; sum $66$, so $\bar d=\frac{66}{8}=8.25$ msA1Before minus after, as the question asks.
  2. sample standard deviation $s=6.96$ msA1Stored value $6.96419$; use the sample standard deviation.

(c) Test, at the 5% significance level, whether the break reduces the mean reaction time. State your hypotheses, the $p$-value and your conclusion. [5]

Show the solution
  1. $\mathrm{H}_0\colon\mu_d=0$, $\mathrm{H}_1\colon\mu_d>0$, where $\mu_d$ is the mean reduction (before $-$ after), in ms, for all staffA1Population parameter; the direction comes from the claim.
  2. paired $t$-test, that is a one-sample $t$-test on the differencesM1Name the test.
  3. $t=3.35$, $p=0.00612$A1 A1One mark for each value.
  4. $0.00612<0.05$: reject $\mathrm{H}_0$; there is evidence at the 5% level that the break reduces the mean reaction timeR1Decision, then context.

(d) State one assumption that your test in (c) requires. [1]

Show the solution
  1. the differences are (approximately) normally distributed for all staffR1The assumption of the $t$-test.

(e) On another day, eight different members of staff are measured twice, one hour apart, with no break. Their differences, first minus second, in ms, are $-2, 4, 1, -5, 3, 0, 6, -1$. Carry out a pooled two-sample $t$-test at the 5% level to decide whether the mean improvement with a break is greater than the mean improvement without one. [5]

Show the solution
  1. $\mathrm{H}_0\colon\mu_B=\mu_N$, $\mathrm{H}_1\colon\mu_B>\mu_N$, the mean improvement with and without a breakA1Two named parameters.
  2. pooled two-sample $t$-test on the two lists of differencesM1Name the test.
  3. $t=2.72$, $p=0.00836$A1 A1Stored values $2.71607$ and $0.00836$.
  4. $0.00836<0.05$: reject $\mathrm{H}_0$; the improvement with a break is greater than the improvement without oneR1In context.

(f) Explain why the test in (e) gives better evidence about the effect of the break than the test in (c). [2]

Show the solution
  1. in (c) the staff could improve through practice or the time of day aloneR1Names the confounding.
  2. in (e) the control group had the same delay without a break, so the extra improvement can be put down to the breakR1The role of a control group.

(g) A sign test counts how many of the eight differences in the table are positive. If the break has no effect, each difference is equally likely to be positive or negative, independently. Use a sign test at the 5% level to test whether the break reduces reaction times. [3]

Show the solution
  1. 7 of the 8 differences are positive; under $\mathrm{H}_0$, $X\sim\mathrm{B}(8,0.5)$M1Model the count.
  2. $\mathrm{P}(X\ge7)=\frac{9}{256}=0.0352$A1Value read from the GDC.
  3. $0.0352<0.05$: reject $\mathrm{H}_0$; the sign test also gives evidence that the break reduces reaction timesR1Same conclusion as (c), with fewer assumptions.

(h) Find a 95% confidence interval for the mean reduction in reaction time after a break, and interpret it. [3]

Show the solution
  1. $8.25\pm t_{7}(0.975)\times\dfrac{6.964}{\sqrt{8}}$M1$t_7(0.975)=2.365$.
  2. $(2.43,\,14.1)$ msA1Value read from the GDC.
  3. we are 95% confident that the mean reduction for all staff lies between 2.43 ms and 14.1 ms; 0 is not in the interval, which agrees with (c)R1Interpretation.

(i) Explain, in context, what a Type I error would be in (c), and write down its probability. [2]

Show the solution
  1. concluding that the break reduces reaction times when in fact it makes no differenceR1In context.
  2. $\mathrm{P}(\text{Type I})=0.05$A1The significance level.

(j) Suggest one change to Priya's study design that would make its conclusion more reliable, giving a reason. [2]

Show the solution
  1. for example, choose the staff at random from all shifts, and decide at random who gets the break (or test more staff)R1A specific change.
  2. so the result applies to all staff and is not driven by who was chosenR1The reason.

Plan exam dayThe hour minute by minute, the mistakes to avoid, the weeks before5 min

How to spend the hour

  1. 0–3 minRead both questions. Note which has a test, a table or a diagram, and start with the one whose first parts you can do.
  2. 3–8 minFirst question, opening parts: describe the data, set up the model or name the test. Write the context in a short phrase.
  3. 8–18 minFirst question, structure and explore: the derivation, then the GDC work. Write what you entered and the value you read.
  4. 18–30 minFirst question, deduce and interpret: the decision, the meaning in context, the limits of the model. Stop at 30 minutes.
  5. 30–35 minSecond question, opening parts, with the same care.
  6. 35–45 minSecond question, structure and explore.
  7. 45–55 minSecond question, deduce, generalise and interpret. A sentence in context is worth a mark, so keep time for it.
  8. 55–60 minGo back to the gaps. Check that each answer has units and a sentence, that hypotheses are about the population and that values are to 3 significant figures.

Five ways marks are lost

  1. 1No sentence in context. After every number, write what it means in the story with its units. A decision with no context loses the reasoning mark.
  2. 2Hypotheses about the sample. Write $\mathrm{H}_0$ and $\mathrm{H}_1$ about the population mean or proportion, and define the symbol. A hypothesis about $\bar{x}$ earns nothing.
  3. 3Writing the calculator, not the model. Name the test or the model, then give the value. A line of menu commands is not an answer. Write what you entered, then the result.
  4. 4Rounding early. Keep the full value on the GDC and round only the final answer to 3 significant figures, unless the question says otherwise.
  5. 5Skipping the criticism parts. The last parts ask what the model leaves out or how the study could be improved. They are one or two marks each and answerable after a poor middle. Reach them.

The weeks before

  1. Wk 1–2Repair the toolkit Paper 3 draws on: hypothesis tests, matrices, differential equations, regression and vectors. Use short exercises on the GDC.
  2. Wk 3Learn the six stages and the mark codes. Read one worked investigation slowly, cover the solution and compare line by line.
  3. Wk 4–5Work the statistics type in full, then vectors, motion and shape and networks. One question per sitting, untimed, writing every sentence.
  4. Wk 6Cover the remaining types with one question each. Keep an error log of lost marks by type and stage.
  5. Wk 7Sit full Paper 3s in one hour, with a GDC and no notes. Mark each against a written markscheme and rewrite the parts you lost.
  6. Wk 8Redo your weakest type. Reread the error log, the mark codes and the hour plan. Sit one last paper two or three days before the exam, then stop.

IB Math AI HL Paper 3 questions

Is Paper 3 hard?

It is the hardest paper to start, because the context is unfamiliar and the parts are linked. It is also predictable. The 40 questions we read fall into nine types, and a statistical test appears in 15 of them. Parts ask for the same moves again and again.

How long is Paper 3 and what is it worth?

Paper 3 is 1 hour long and worth 55 marks, with two extended questions. It counts for 20% of your HL grade. Papers 1 and 2 count for 30% each and the internal assessment for 20%.

How do I practise with few past papers?

Take each question in stages. Do the early parts timed, cover the later ones, and write your own conclusion before looking. Rework a question with different data or a changed rate. Our analysis gives you the nine types, so you can build practice by type.

Can I use my GDC?

Yes. Paper 3 allows a GDC and expects you to use it for tests, regression, matrices and Euler tables. Write the test or model you used and the value. A line of keystrokes or menu names does not count as working.

What topics come up most?

Statistical tests and validity come up most: 11 of the 40 questions and 290 of the 1100 marks, with at least one in every year of the analysis. Vectors, motion and shape follow with 5 questions, then networks with 5. A differential equation appears in 10 of the 40 questions.

How is it marked?

Marks are given for method (M), accurate results (A) and reasons (R). Follow-through lets a correct later step score after an earlier slip. Many parts are worth one or two marks, and the reasoning parts carry as much as the arithmetic.

Photon Guidebook for HL Paper 3

Every type in its own chapter, worked investigations with every mark explained, and six full practice papers.

See the guidebook