IA idea · Health, biology & medicine

Can height predict lung capacity?

AI SLAI HLAA SL Accessible Also in: Statistics, Sport

Research question

How strongly is vital capacity (measured with a spirometer) related to height among students in my school, and do students who play wind instruments or endurance sports have larger residuals?

Adapt it: change the place, the data or the comparison until the question is yours.

Why it makes a good exploration

Doctors use predicted lung capacity based on height, age and sex. Measuring classmates (with consent and a school spirometer) and testing whether musicians and athletes beat the prediction gives your own dataset and a clear second question.

The mathematics you'll need

  • Scatter plots, correlation and linear regression
  • Residuals and group comparisons
  • t-test on residuals (AI)
  • Sampling and bias

Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.

Where the data comes from

Use a school spirometer (biology department) with consent; record height, sex and activities; 40+ students.

Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.

A possible outline

  1. Plan ethically with your teacher.
  2. Collect measurements with a consistent method.
  3. Fit regression models by sex.
  4. Compare residuals of musicians/athletes.
  5. Reflect on technique and effort effects.

Pitfalls that cost marks

  • Inconsistent technique (take the best of three).
  • Mixing sexes in one regression without comment.
  • Too few musicians/athletes to compare.

Showing personal engagement

  • Include yourself and explain your own residual.
  • Compare with published reference equations.
  • Discuss what “normal” lung capacity means.

See Criterion C: personal engagement for what examiners look for.

Taking it further

Fit a model with height and sex together and compare with a published clinical equation.

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