IB Mathematics · Experiments and measurement data

Choose measurement tools that match the mathematical question.

From rulers and thermometers to data loggers, video analysis, CO₂ sensors and Python - with data types, mathematics, topic examples and limitations.

Choose equipment purposefully

Measurement tools for IB Mathematics experiments

Measuring equipment does not automatically make an IA strong. The measured quantity must match the research question, the data must be reproducible, and you must explain resolution, accuracy, uncertainty and limitations. This guide connects common devices with mathematical methods and possible topic directions.

Start with the quantity

Which variable actually answers your question?

Separate resolution and accuracy

A display in 0.1 increments does not automatically prove ±0.1 accuracy.

Calibrate and pilot

Run a short pilot before collecting the full series.

Repeat

Multiple trials reveal variation, outliers and uncertainty.

Preserve raw data

Keep original files, settings and timestamps traceable.

Safety and privacy

Heat, electricity, sport, personal or health data require additional safeguards.

From device to research question

Plan the variable, sampling interval and analysis together.

  1. Question: Which relationship or model will be investigated?
  2. Measurement plan: Which values, intervals, controls and repetitions are needed?
  3. Mathematics: Which functions, regressions, distributions or optimisations answer the question?
  4. Reflection: How do measurement error and model assumptions affect the result?
Basic measurements

Basic measurements

Ruler, tape measure, calliper and protractor

What you can do with it

Use these tools to measure length, diameter, thickness, angle and geometric distance. A calliper is valuable when millimetres or tenths of a millimetre matter; a protractor supports projectile, light, solar and slope experiments.

Typical data
Length, angle, area, volume, ratio, measurement error
Mathematics
Geometry · Trigonometry · Regression · uncertainty

Example topics

  • Paper-aeroplane trajectory at different launch angles
  • Volume of irregular or solids-of-revolution objects
  • Solar-cell output as a function of incidence angle
Practical and safety notes

Record resolution and measurement method. Repeat readings and keep the same reference points.

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Scale and precision balance

What you can do with it

A kitchen scale is sufficient for gram-level readings; a precision balance is better for evaporation, filter residue, electrodes or small material samples. Mass time series can be analysed with linear, exponential or piecewise models.

Typical data
Mass, mass change, density, loss rate
Mathematics
Regression · calculus · statistics · uncertainty

Example topics

  • Evaporation rate of different liquids
  • Density of wood, plastics or solutions
  • Mass gained by filters or water absorbed by materials
Practical and safety notes

Use the same container, tare before each run, and protect the balance from draughts and splashes.

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Measuring cylinder, pipette and lab vessels

What you can do with it

Measuring cylinders provide reproducible volumes; pipettes are useful for small, accurately dispensed quantities. They support concentration series, density measurements and controlled flow or mixing experiments.

Typical data
Volume, concentration, flow, density
Mathematics
Proportionality · regression · differential equations · uncertainty

Example topics

  • Drainage time for different outlet areas
  • Density of water–ethanol mixtures
  • Effect of sugar concentration on flow rate
Practical and safety notes

Read the meniscus at eye level. Chemicals and hot liquids require appropriate school-lab supervision and protection.

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Stopwatch, timer and light gate

What you can do with it

Time measurement is central to motion, reaction, cooling, oscillation, flow and decay. A phone timer is enough for slow processes; video or a light gate is much better for short intervals.

Typical data
Time, period, travel time, reaction time
Mathematics
Kinematics · regression · statistics · periodicity

Example topics

  • Pendulum period as a function of length
  • Flow or drainage times
  • Learning curves and reaction-time distributions
Practical and safety notes

Separate device resolution from human reaction delay. Manual timing requires many repetitions.

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Temperature, light and environment

Temperature, light and environment

Contact thermometer and temperature data logger

What you can do with it

A contact probe measures the temperature of an object, liquid or the air at the sensor. Data loggers record at fixed intervals, making them ideal for cooling, conduction, insulation and daily cycles.

Typical data
Temperature, temperature difference, rate of change, time constant
Mathematics
Exponentials · differential equations · regression · residual analysis

Example topics

  • Newton cooling of drinks
  • Insulation performance of cup materials
  • Temperature profiles in rooms or soil samples
Practical and safety notes

Check immersion depth, response time and calibration. A liquid probe should not touch the vessel wall.

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IR thermometer and thermal camera

What you can do with it

An IR thermometer measures surface temperature at a point without contact. A thermal camera produces spatial temperature fields for profiles, area means, cooling curves and image analysis.

Typical data
Surface temperature, temperature field, hotspots, spatial gradient
Mathematics
Regression · area analysis · interpolation · calculus

Example topics

  • Heat distribution around bearings after motion
  • Cooling of different cup surfaces
  • Comparison of insulation materials or windows
Practical and safety notes

Emissivity, reflections and distance affect readings. Do not infer medical diagnoses from skin images; anonymise any personal imagery.

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Humidity, material-moisture and weather instruments

What you can do with it

Hygrometers, moisture sensors, anemometers, rain gauges and pressure sensors create environmental time series suitable for multiple regression, seasonal patterns and controlled comparisons.

Typical data
Relative humidity, wind, precipitation, pressure, material moisture
Mathematics
Time series · multiple regression · statistics · periodicity

Example topics

  • Humidity and evaporation rate
  • Local wind and heat loss
  • Material moisture and Wi-Fi attenuation
Practical and safety notes

Do not expose sensors to sun or rain unless rated for it. Document a constant location and measurement height.

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Lux meter, light sensor and solar sensor

What you can do with it

Lux meters measure illuminance; suitable solar sensors or multimeters can measure electrical output. They support inverse-distance models, angle of incidence, shading and daily cycles.

Typical data
Lux, irradiance, voltage, power, angle
Mathematics
Trigonometry · power models · regression · optimisation

Example topics

  • Solar-cell output at different angles
  • Light intensity and plant response
  • Illuminance distribution in classrooms
Practical and safety notes

Lux is weighted to human vision and is not identical to radiant power. Control sensor orientation and ambient light.

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Electrical, mechanical and acoustic

Electrical, mechanical and acoustic

Multimeter and electrical meters

What you can do with it

A multimeter measures voltage, current and resistance. With a defined load it can support battery-discharge, internal-resistance, solar-cell and sensor-response investigations.

Typical data
Voltage, current, resistance, power, energy
Mathematics
Functions · regression · integration · optimisation

Example topics

  • Battery discharge curves
  • Internal resistance versus temperature
  • Solar-cell power versus light angle and distance
Practical and safety notes

Use only safe low-voltage circuits. Connect current ranges correctly; mains electricity is not suitable for a student experiment.

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Force sensor, spring balance and torque sensor

What you can do with it

These devices measure tension, compression, spring force and sometimes torque. Typical uses include Hooke’s law, friction, failure load, levers and optimisation of mechanical models.

Typical data
Force, extension, friction, breaking load, torque
Mathematics
Linear regression · optimisation · mechanics · uncertainty

Example topics

  • Spring constant and working range
  • Friction coefficient of different materials
  • Bending or breaking load of standard samples
Practical and safety notes

Do not exceed rated loads. Fracture tests need eye protection, containment and competent supervision.

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Microphone, sound-level meter and audio analysis

What you can do with it

Microphones provide waveforms and spectra; sound-level meters report levels in decibels. Software supports Fourier analysis, resonance, attenuation and reverberation time.

Typical data
Frequency, amplitude, decibels, spectrum, reverberation time
Mathematics
Sinusoids · Fourier analysis · logarithmic models · regression

Example topics

  • Resonance frequency of tubes
  • Sound attenuation by materials
  • Overtones of musical instruments
Practical and safety notes

Keep microphone position and gain fixed. Protect hearing and avoid unnecessary sound levels.

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Phone, camera and tracking

Phone, camera and tracking

Camera and smartphone for photo/video analysis

What you can do with it

Video makes position, angle and time measurable frame by frame. Photographs support area fractions, symmetry, fractals, perspective and spatial interpolation. Include a calibration length in the image.

Typical data
Pixel coordinates, distance, velocity, angle, area
Mathematics
Kinematics · regression · geometry · image analysis

Example topics

  • Trajectory of a ball or paper aeroplane
  • Rotational motion in sport
  • Bubble fraction, leaf area or filter area from images
Practical and safety notes

Fix the camera, control perspective and record the frame rate. Obtain consent before recording people.

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Phone sensors: accelerometer, gyroscope and magnetometer

What you can do with it

Many phones record acceleration, angular velocity and magnetic field. This supports oscillation, rotation, travel, inclination and relative field measurements.

Typical data
Acceleration, angular velocity, orientation, magnetic field
Mathematics
Vectors · periodicity · integration · power models

Example topics

  • Damping of a pendulum or vehicle
  • Magnetic field strength versus distance
  • Acceleration profiles during motion
Practical and safety notes

Document sensor axes and sampling rate, subtract background values and secure the phone safely.

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GPS device and fitness tracker

What you can do with it

GPS and trackers provide position, distance, speed, elevation, time and sometimes heart rate. They support real motion datasets, routes, elevation profiles and statistical comparisons.

Typical data
Coordinates, distance, speed, elevation, time series
Mathematics
Vectors · geometry · regression · statistics

Example topics

  • Cycling speed and gradient
  • Route optimisation to school
  • Pacing and performance variation in running
Practical and safety notes

GPS errors increase indoors and near tall buildings. Protect privacy and do not publish precise home or health data.

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Non-invasive physiology sensors

What you can do with it

Heart-rate, reaction-time or simple breathing sensors can record temporal patterns and differences between conditions. They are for low-risk observation, not diagnosis or self-intervention.

Typical data
Heart rate, reaction time, breathing period, recovery curve
Mathematics
Statistics · regression · exponentials · hypothesis tests

Example topics

  • Recovery after standardised light activity
  • Reaction time under different conditions
  • Periodic modelling of breathing
Practical and safety notes

Consent, anonymisation and school rules are essential. Do not conduct risky exertion, medication trials or diagnoses.

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Sensors and school laboratory

Sensors and school laboratory

pH, conductivity and salinity meter

What you can do with it

These sensors quantify properties of solutions, enabling calibration curves, concentration models, temperature corrections and time-dependent mixing or reaction studies.

Typical data
pH, conductivity, salinity, concentration
Mathematics
Logarithms · regression · calibration · uncertainty

Example topics

  • Conductivity of rainwater samples
  • Salinity and sound or freezing properties
  • pH during dilution or neutralisation
Practical and safety notes

Use only safe substances and school-appropriate concentrations. Rinse and calibrate probes and document temperature dependence.

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CO₂ sensor and indoor-air data logger

What you can do with it

A suitable NDIR CO₂ sensor records concentration, often with temperature and humidity, over time. It supports rise, decay and air-exchange models.

Typical data
CO₂ concentration, rate of change, time constant, air exchange
Mathematics
Exponentials · differential equations · multiple regression · time series

Example topics

  • CO₂ decay after room occupancy
  • Window opening and ventilation effectiveness
  • Light intensity and net plant CO₂ exchange
Practical and safety notes

Do not deliberately enrich occupied rooms with CO₂ or seal people inside. Record warm-up time, drift and sensor position.

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Specialist school-lab equipment

What you can do with it

Light gates, ultrasonic sensors, force plates, spectrometers, magnetic stirrers or precise data loggers can support demanding questions. A device is useful only when its measurement matches the research question and its operation is understood.

Typical data
Device-specific data at high temporal or spatial resolution
Mathematics
depending on experiment: calculus · statistics · differential equations · spectral analysis

Example topics

  • Speed of sound in water
  • Induced voltage from a moving magnet
  • Controlled thermal or flow experiments
Practical and safety notes

Agree access with the teacher. Test limits, calibration, safety rules and data export before the main data collection.

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Modelling, software and data

Modelling, software and data

Physical model, material samples and 3D printer

What you can do with it

Models provide controlled geometry, interchangeable parameters and repeatable trials. A 3D printer can produce channels, blades, vessels, bridges, tessellations or sensor mounts.

Typical data
Geometry, dimensions, load, flow, optimisation parameters
Mathematics
Geometry · optimisation · scaling · simulation

Example topics

  • Channel cross-section and discharge
  • Bridge curvature and material use
  • Water-wheel blade angle
Practical and safety notes

Document print settings and dimensional error. Physical models simplify reality; those assumptions belong in the reflection.

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Computer, spreadsheet, CAS, GeoGebra, Desmos and Python

What you can do with it

These tools store data, run regressions, create graphs, calculate residuals, simulate random processes and solve equations numerically. They do not replace an explanation of the mathematics.

Typical data
Tables, models, parameters, simulations, graphs
Mathematics
Regression · simulation · numerical methods · optimisation

Example topics

  • Nonlinear regression of a cooling curve
  • Monte Carlo simulation of Buffon’s needle
  • Comparison of sorting or graph algorithms
Practical and safety notes

Document formulas, data ranges, software version and settings. Explain central results rather than presenting black-box output.

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SATA docking station with a KingSpec SSD inserted
Original filename: d3ee170a-0cd4-40a0-a47d-3cf96c77c05d.jpeg

SSD, SATA docking station and data backup

What you can do with it

The photographed device is not a sensor; it is a SATA docking station with a KingSpec SSD inserted. It is useful for securely storing, versioning and transferring large video, thermal-image, audio or sensor datasets. A traceable folder structure can be as important as the measuring device.

Typical data
Raw data, image sequences, video, audio, scripts, analysis versions
Mathematics
Data management · reproducibility · versioning · sample checking

Example topics

  • High-frame-rate video of a trajectory
  • Thermal-image time series with many frames
  • AI classification using a self-collected image dataset
Practical and safety notes

Verify the drive model and backups before initialising or formatting. Keep at least two copies and encrypt or anonymise personal data. The exact dock model is not legible in the photograph.

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Equipment is only one part

The mathematical decision remains central.

An expensive sensor does not replace a clear research question or transparent mathematics. A ruler or phone may be enough for a strong paper when experimental design, analysis and reflection are convincing.

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