Question pattern · Knowledge card

Kinematics data analysis

Use multiple measurements to estimate a motion parameter, show how uncertainty affects the claim and judge whether the model is supported rather than exactly proven.

Primary skill
Evaluate & predict
Original practice questions
2

Connect the ideas

Key relationships and graph reading

  • Velocity–time best-fit gradient estimates acceleration
  • A residual is measured value minus model value
  • Agreement should be judged against uncertainty and scatter

Check your method

Three common mistakes

  1. Using one noisy interval as the entire trend.
  2. Reporting more precision than the measurements support.
  3. Claiming exact agreement from approximate data.

Original micro-example

Try the idea in miniature

A sensor records 0.5, 1.5 and 2.6 m s⁻¹ at 0.0, 0.5 and 1.0 s.

Show the short answer

An endpoint estimate gives a ≈ (2.6 − 0.5)/1.0 = 2.1 m s⁻². The middle point and measurement uncertainty should be checked before calling the acceleration constant.

Original practice questions

Practise this question pattern

The pattern describes the reasoning structure. Each link below opens a distinct original practice question.