Ib Mathematics: Applications and Interpretation · EXAM PREP

Unit 2 · Topic 2: Functions

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The Complete IB Mathematics: Applications and Interpretation Guide · IB Mathematics: Applications and Interpretation

Unit 2 · Topic 2: Functions

— Functions: choose, calculate, interpret
  • The Complete IB Mathematics: Applications and Interpretation Guide
  • IB Mathematics: Applications and Interpretation
  • 5 sections

International Baccalaureate does not publish a per-unit weighting for this exam. Exam structure (official): SL: Paper 1 (90 min, 40%) · Paper 2 (90 min, 40%) · Internal Assessment (20%); HL: Paper 1 (120 min, 30%) · Paper 2 (120 min, 30%) · Paper 3 (60 min, 2 questions, 20%) · Internal Assessment (20%). Be ready to carry the same unit skills and representations into a complete answer on every paper. This topic develops representation, model choice, parameters, domain, and interpretation. The official subject brief names the topic but does not publish a topic-by-topic examination percentage, so no percentage is claimed here on the “Functions: choose, calculate, interpret” page.

  • How IB Mathematics: Applications and Interpretation assesses this International Baccalaureate publishes no per-unit percentage for IB Mathematics: Applications and Interpretation; Paper 1 and Paper 2 each account for 40% of the SL total and 30% of the HL total. · SL: Paper 1 (90 min, 40%) · Paper 2 (90 min, 40%) · Internal Assessment (20%) | HL: Paper 1 (120 min, 30%) · Paper 2 (120 min, 30%) · Paper 3 (60 min, 2 questions, 20%) · Internal Assessment (20%) · show the model with an equation with parameters and a stated domain, a graph with intercepts, turning points, or asymptotes, a table of observed values, predicted values, and residuals
  • Key skills Domain, Range, Inverse, Graphs and Their Key Features, Straight Lines and Linear Models, Quadratic and Cubic Models, Exponential Growth and Decay, Direct and Inverse Variation, Sinusoidal Models, Composite and Inverse Functions and Transformations of Graphs (HL), Further Models: Half-Life, Natural Logarithm, Phase-Shifted Sinusoidal, Logistic, and Piecewise (HL), Logarithmic Scales, Linearizing Data, Log-Log and Semi-Log Graphs (HL)
  • How to study for Unit 2 This page turns an equation with parameters and a stated domain, a graph with intercepts, turning points, or asymptotes, a table of observed values, predicted values, and residuals into one route: Define the input and output with units, then mark the useful domain before selecting a model..
  • The organizing decision Choose a function family and representation that fit the measurements, domain, and behavior the question describes.
IB Mathematics: Applications and Interpretation · Unit 2 of 5
Exam weight

International Baccalaureate does not publish a per-unit weighting for this exam.

Official unit name and weighting: IB subject guide / subject brief.

Functions: choose, calculate, interpret

Connect the published share to the unit model

This topic develops representation, model choice, parameters, domain, and interpretation. The official subject brief names the topic but does not publish a topic-by-topic examination percentage, so no percentage is claimed here on the “Functions: choose, calculate, interpret” page.

Vocabulary in use: domain, range, intercept, gradient, quadratic model, asymptote, piecewise function, residual. Each term is applied on these pages and collected again in the glossary with a checked page pointer on the “Functions: choose, calculate, interpret” page.

A strong functions solution defines input and output, selects a defensible family, records parameters, and checks the useful domain before interpreting a prediction. The sensor, fountain, cooling, and travel situations in this topic are independently written illustrations.

The decision that organizes this unit

Define the system and choose the route before calculating

Choose a function family and representation that fit the measurements, domain, and behavior the question describes.

First move

Define the input and output with units, then mark the useful domain before selecting a model.

Mechanism route and repair branches

Relationships to preserve

  • A linear model has a constant gradient linking output change to input change.
  • A quadratic turning point can identify a modeled maximum or minimum inside the stated domain.
  • A residual is observed output minus predicted output, so its sign shows which value is larger.

Representations to read

  • an equation with parameters and a stated domain
  • a graph with intercepts, turning points, or asymptotes
  • a table of observed values, predicted values, and residuals

Branches to reject

  • extrapolating beyond the measured domain without warning
  • reporting a turning point without checking that it lies in the stated interval
  • reversing observed minus predicted when calculating a residual
Key conceptWhy it's hardWhat scores
domainDistinguishing domain from range requires their definitions and units.Define the quantity measured by domain and attach its units before calculation.
interceptA calculator screen does not show why intercept is the suitable model feature.Record the relation used for intercept and one identifying intermediate value.
asymptoteA computed asymptote value still needs a domain and scale check.Check the restrictions, precision, and contextual meaning of the asymptote result.
Assessment

How IB Mathematics: Applications and Interpretation assesses Topic 2: Functions

What a complete response must make visible

Match the task to evidence that a reader can audit, then check the most likely reasoning failure before finalizing the response.

TaskEvidence to showHurdle
Domain, Range, Inverse, Graphs and Their Key Featuresdomain; asymptote; residualextrapolating beyond the measured domain without warning
Straight Lines and Linear Modelsdomain; asymptote; residualreporting a turning point without checking that it lies in the stated interval
Quadratic and Cubic Modelsdomain; asymptote; residualreversing observed minus predicted when calculating a residual
Exponential Growth and Decay, Direct and Inverse Variationdomain; asymptote; residualextrapolating beyond the measured domain without warning
Sinusoidal Modelsdomain; asymptote; residualreporting a turning point without checking that it lies in the stated interval
Composite and Inverse Functions and Transformations of Graphs (HL)domain; asymptote; residualreversing observed minus predicted when calculating a residual
Further Models: Half-Life, Natural Logarithm, Phase-Shifted Sinusoidal, Logistic, and Piecewise (HL)domain; asymptote; residualextrapolating beyond the measured domain without warning
Logarithmic Scales, Linearizing Data, Log-Log and Semi-Log Graphs (HL)domain; asymptote; residualreporting a turning point without checking that it lies in the stated interval
Worked examples

Choose a linear model from two measurements

Read each question as it appears on the exam paper, choose your answer, then tap it to see the feedback.

Practice 1: Build a linear calibration model

Q. Which calculation produces the correct linear model with the variables in the required order? Read the exam question below, choose one option, then tap it to check.
Paper 1 · Question 5[Maximum mark: 4]

A sensor gives an output of 1.2 V at 10°C and 2.7 V at 40°C. Its output V is modeled as a linear function of temperature T.

Find the model in the form V = mT + b.

Show your working.

A. m = (40 − 10) ÷ (2.7 − 1.2) = 20, so V = 20T − 198.8.

❌ Not quite 😭 This reverses output change and input change. Its gradient has °C per volt rather than the required volts per °C.

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B. m = 0.05 and b = 1.2, so V = 0.05T + 1.2.

❌ Not quite 😭 The gradient is correct, but 1.2 V is the output at 10°C, not the vertical intercept at T = 0.

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C. m = (2.7 − 1.2) ÷ (40 − 10) = 0.05 and b = 0.70, so V = 0.05T + 0.70.

✅ Correct! 😊 Correct. The gradient uses voltage change over temperature change, and substitution of either data point gives b = 0.70.

D. m = 1.5 and b = 30, so V = 1.5T + 30.

❌ Not quite 😭 This uses the separate differences as parameters without forming their quotient or checking either measured point.

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Full explanation
  • Step 1Treat temperature as input and voltage as output, giving points (10, 1.2) and (40, 2.7).
  • Step 2Calculate m = (2.7 − 1.2) ÷ (40 − 10) = 0.05 V per °C.
  • Step 3Substitute (10, 1.2): 1.2 = 0.05(10) + b, so b = 0.70.
  • Step 4The model is V = 0.05T + 0.70, and it reproduces both calibration measurements.
Answer. C. m = (2.7 − 1.2) ÷ (40 − 10) = 0.05 and b = 0.70, so V = 0.05T + 0.70.
Model solution. The gradient is m = (2.7 − 1.2) ÷ (40 − 10) = 0.05 V per °C. Using V = mT + b and the point (10, 1.2), 1.2 = 0.05(10) + b, so b = 0.70. Therefore, V = 0.05T + 0.70.
Markscheme focus. Define input and output correctly, calculate the gradient with units and determine the intercept by substitution.

Practice 2: Interpret a residual

Q. Which answer uses the stated residual definition and interprets the sign correctly? Read the exam question below, choose one option, then tap it to check.
Paper 2 · Question 6[Maximum mark: 3]

A model predicts that a train journey will take 38.4 minutes. The observed journey takes 41.0 minutes.

Calculate the residual, defined as observed value minus predicted value, and interpret its sign.

Show your working.

A. Residual = 41.0 − 38.4 = +2.6 minutes; the journey took 2.6 minutes longer than predicted.

✅ Correct! 😊 Correct. Observed minus predicted is positive, so the observed time lies above the model value.

B. Residual = 38.4 − 41.0 = −2.6 minutes; the journey took 2.6 minutes longer than predicted.

❌ Not quite 😭 The verbal comparison is right, but the subtraction reverses the residual definition given in the question.

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C. Residual = 2.6 minutes; the sign is unnecessary because only the size matters.

❌ Not quite 😭 Using an absolute difference loses whether the model overpredicted or underpredicted the journey time.

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D. Residual = +79.4 minutes because the observed and predicted times should be added.

❌ Not quite 😭 A residual is a difference, not a total. Adding the times does not measure prediction error.

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Full explanation
  • Step 1Use the definition supplied: residual = observed − predicted.
  • Step 2Substitute the times to obtain 41.0 − 38.4 = +2.6 minutes.
  • Step 3A positive residual means the observed journey took 2.6 minutes longer than the model predicted.
Answer. A. Residual = 41.0 − 38.4 = +2.6 minutes; the journey took 2.6 minutes longer than predicted.
Model solution. Residual = observed − predicted = 41.0 − 38.4 = +2.6 minutes. The positive residual means that the observed journey took 2.6 minutes longer than the model predicted.
Markscheme focus. Calculate observed minus predicted and use the sign to compare the observation with the model value in context.
Glossary

Key terms for Unit 2: Topic 2: Functions

Models, uses, and boundaries

Interpret a Gradient
Gradient divides output change by input change; retain the measurement units in that quotient. Use this relation when the named quantities and conditions in the question match the calculation described here.
Build a Linear Model
Compute 0.05 V per °C, then use 1.2 = 0.05(10) + b to find b = 0.70; keep the estimate at 28°C inside the measured domain from 10°C to 40°C. Use this relation when the named quantities and conditions in the question match the calculation described here.
Locate a Quadratic Turning Point
Find t = −12 ÷ (−10) = 1.2 and substitute to obtain h(1.2) = 8.0; check that 1.2 seconds lies inside the stated time domain and gives the maximum. Use this relation when the named quantities and conditions in the question match the calculation described here.
Solve an Exponential Half-Life Model
Solve 36(0.82)^t = 18 to obtain t = ln(0.5) ÷ ln(0.82) = 3.49; verify that substituting 3.49 hours makes the initial 36°C difference approximately 18°C. Use this relation when the named quantities and conditions in the question match the calculation described here.
Calculate a Residual
Subtract predicted from observed to calculate 45.1 − 42.6 = +2.5 minutes; use the positive sign to check that the observed journey was longer than predicted. Use this relation when the named quantities and conditions in the question match the calculation described here.
FAQ

IB Mathematics: Applications and Interpretation Unit 2 FAQ

How much of IB Mathematics: Applications and Interpretation does Unit 2 carry?

International Baccalaureate does not publish a per-unit weighting for this exam.

What is the first move on a Topic 2: Functions problem?

Define the input and output with units, then mark the useful domain before selecting a model.

Which relationships should I preserve?

A linear model has a constant gradient linking output change to input change. A quadratic turning point can identify a modeled maximum or minimum inside the stated domain. A residual is observed output minus predicted output, so its sign shows which value is larger.

Which representations should I practice?

Practice moving among an equation with parameters and a stated domain, a graph with intercepts, turning points, or asymptotes, a table of observed values, predicted values, and residuals.

What error should I check before submitting an answer?

Check for extrapolating beyond the measured domain without warning; reporting a turning point without checking that it lies in the stated interval; reversing observed minus predicted when calculating a residual.

Evidence workshop

Continue from the free model into complete practice

The full unit guide continues with the chapter’s worked examples, figures, scoring tables, and answer checks.

  • Choose a linear model from two measurements
  • Find a quadratic turning point
  • Interpret an exponential half-life model
  • Check and answer: Choose a linear model from two measurements · Interpret an exponential half-life model
  • Check a model with a residual
  • Check and answer: Find a quadratic turning point · Check a model with a residual

Full unit practice. Open the complete guide for the full evidence workshop and synthesis.

Study strategy

How to study IB Mathematics: Applications and Interpretation Unit 2

Start with the organizing decision

Before solving, restate the decision in operational terms: Choose a function family and representation that fit the measurements, domain, and behavior the question describes.. Your first written move should be to Define the input and output with units, then mark the useful domain before selecting a model..

Practice the same idea in several representations

Rotate through an equation with parameters and a stated domain, a graph with intercepts, turning points, or asymptotes, a table of observed values, predicted values, and residuals. Use each representation to practice Domain, Range, Inverse, Graphs and Their Key Features, Straight Lines and Linear Models, Quadratic and Cubic Models, Exponential Growth and Decay, Direct and Inverse Variation, Sinusoidal Models, Composite and Inverse Functions and Transformations of Graphs (HL), Further Models: Half-Life, Natural Logarithm, Phase-Shifted Sinusoidal, Logistic, and Piecewise (HL), Logarithmic Scales, Linearizing Data, Log-Log and Semi-Log Graphs (HL), and explain what stays invariant when the surface form changes.

Turn each error into a repair check

After every attempt, audit the response for extrapolating beyond the measured domain without warning; reporting a turning point without checking that it lies in the stated interval; reversing observed minus predicted when calculating a residual. Then redo only the first step that made the reasoning diverge, keeping units, direction, and model conditions visible.

Confirm current course details in the official IB subject guide / subject brief for the 2027 administration.

Next

Where to go next

Return to the IB Mathematics: Applications and Interpretation to see every unit and plan your revision.

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