mathematics

Michael Healy (statistician)

Michael Healy (statistician) is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Michael Healy (statistician) rather than just read about it. In short: Michael John Romer Healy (26 November 1923 – 17 July 2016) was a British statistician known for his contributions to statistical computing, auxology, laboratory statistics and quality control, and methods for analysing longitudinal data, among other areas. He was professor of medical statistics at the London School of Hygiene and Tropical Medicine from 1977 until his retirement.

Key takeaways

Michael Healy (statistician) belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Michael Healy (statistician) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Michael Healy (statistician) from memory before moving on to harder problems.

Reference excerpt

Michael John Romer Healy (26 November 1923 – 17 July 2016) was a British statistician known for his contributions to statistical computing, auxology, laboratory statistics and quality control, and methods for analysing longitudinal data, among other areas. He was professor of medical statistics at the London School of Hygiene and Tropical Medicine from 1977 until his retirement. The Royal Statistical Society awarded him the Guy Medal in Silver in 1979 and Gold in 1999, and he also acted as chairman of its medical section. He was the author or co-author of three books and over 200 scientific papers. He died on 17 July 2016 at the age of 92.

Books Assessment of Skeletal Maturity and Prediction of Adult Height (TW2Method) (with J. M. Tanner, R. H. Whitehouse, W. A. Marshall and H. Goldstein), Academic Press, London, 1975 (2nd edn, 1983, additionally with N. Cameron). ISBN 978-0-7020-2511-2 Matrices for Statistics, Oxford University Press, Oxford, 1986. ISBN 978-0-19-850702-4 GLIM: an Introduction, Oxford University Press, Oxford, 1988. ISBN 978-0-19-852213-3

References

Worked examples

Example 1 — a first encounter with Michael Healy (statistician)

Start with the simplest possible case. Write down what Michael Healy (statistician) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Michael Healy (statistician) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Michael Healy (statistician) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Michael Healy (statistician)

In research: Michael Healy (statistician) appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Michael Healy (statistician) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Michael Healy (statistician) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1923 births, 2016 deaths, 20th-century British statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Michael Healy (statistician) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Michael Healy (statistician) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Michael Healy (statistician) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Michael Healy (statistician) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Michael Healy (statistician) in simple terms?

Why does Michael Healy (statistician) matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Michael Healy (statistician)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Michael Healy (statistician).