mathematics

Peter G. Moore

Peter G. Moore 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 Peter G. Moore rather than just read about it. In short: Professor Peter Gerald Moore (5 April 1928 – 14 June 2010) was a British academic, actuary, and statistician. He was Professor of Statistics at London Business School, 1965–1993 and its principal from 1984 to 1989.

Key takeaways

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

Reference excerpt

Professor Peter Gerald Moore (5 April 1928 – 14 June 2010) was a British academic, actuary, and statistician. He was Professor of Statistics at London Business School, 1965–1993 and its principal from 1984 to 1989. Moore was a graduate of KCS Wimbledon, and subsequently at University College London where he took a first class honors degree in statistics. He also completed a PhD at UCL, including time spent studying at Princeton, NJ (US) as a Commonwealth Fund Harkness Fellow. Following National Service with the Royal Horse Artillery where he rose to the rank of Major, he joined the Territorial Army and was awarded the Territorial Decoration in 1963. He was a partner in consulting actuaries Duncan Fraser from 1974 to 1977. In 1984 he became the first president of the Institute of Actuaries from outside the insurance industry (1984-1986), subsequently also becoming the President of the Royal Statistical Society (1989-1991). A freeman of the city of London, he served as master of the Tallow Chandlers Company from 1994 to 1995. He was awarded the Guy medal (1970) and the Chambers Medal (1995) He served as a director of many FTSE 100 companies, government committees and helped establish the Hong Kong University of Science and Technology. He was a prolific writer, publishing many books on statistics and risk in management decisions. His books include: Standard Statistical Calculations 1965, Basic Operational Research 1971, Reason By Numbers 1980, The Anatomy of Decisions 1989, Moore received an honorary doctorate from Heriot-Watt University in 1985 His primary career legacy remains the London Business School. As a founding member of the faculty, he helped shape the curriculum and build the institution into a world leading provider of management education. In his roles as Vice Principal and Principal (now Dean) through the 1970s and 1980s, he grew the organisation, programs, student base and facilities.

References

Worked examples

Example 1 — a first encounter with Peter G. Moore

Start with the simplest possible case. Write down what Peter G. Moore 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 Peter G. Moore 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 Peter G. Moore 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 Peter G. Moore

In research: Peter G. Moore 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 Peter G. Moore 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: Peter G. Moore is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1928 births, 2010 deaths, 20th-century British statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Peter G. Moore 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 Peter G. Moore in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Peter G. Moore 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 Peter G. Moore out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Peter G. Moore in simple terms?

Why does Peter G. Moore 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 Peter G. Moore?

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 Peter G. Moore.