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Margaret E. Martin

Margaret E. Martin 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 Margaret E. Martin rather than just read about it. In short: Margaret E. Martin (May 6, 1912 – May 16, 2012) was an economist and statistician at the U.S.

Key takeaways

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

Reference excerpt

Margaret E. Martin (May 6, 1912 – May 16, 2012) was an economist and statistician at the U.S. Bureau of the Budget from 1942 to 1973. She was influential in the development of U.S. economic statistics and became president of the American Statistical Association.

Early life Margaret Elizabeth Martin was the first child born to Harry Martin, a teacher, and Frances Martin in New York in 1912. Her younger siblings were Jane, Eleanor and Robert. As an elementary student, her teachers included noted economist Clara Eliot.

Education In 1933, Martin received a bachelor's degree in economics from Barnard College, and went on to earn an MA and PhD in economics from Columbia University.

Career Martin worked for the Division of Statistical Standards of the Bureau of the Budget beginning in 1942. The Current Population Survey, which has been the primary source of labor statistics within the country, was developed by Martin and others. The survey is produced by the United States Census Bureau and the U.S. Bureau of Labor Statistics now. From 1973 to 1978 Martin was the first executive director of the Committee on National Statistics (CNSTAT) created by the United States National Research Council.

Recognition She was elected a Fellow of the American Statistical Association in 1961 and became president in 1980. In 1989 the Association awarded her the Founders Award. She was elected to the International Statistical Institute in 1973.

Death Martin died May 16, 2012, of pneumonia and congestive heart failure at Suburban Hospital in Bethesda, Maryland. One of her sisters was alive at the time of her death.

Bibliography Miron L. Straf; Margaret E. Martin (1992). Principles and Practices for a Federal Statistical Agency. National Academies. ISBN 978-0-309-09599-0.

References

Worked examples

Example 1 — a first encounter with Margaret E. Martin

Start with the simplest possible case. Write down what Margaret E. Martin 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 Margaret E. Martin 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 Margaret E. Martin 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 Margaret E. Martin

In research
Margaret E. Martin 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 Margaret E. Martin 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
Margaret E. Martin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1912 births, 2012 deaths, 20th-century American women civil servants, so understanding it makes those chapters shorter.
In everyday life
Look for Margaret E. Martin 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 Margaret E. Martin in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Margaret E. Martin means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Margaret E. Martin out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Margaret E. Martin in simple terms?

Margaret E. Martin (May 6, 1912 – May 16, 2012) was an economist and statistician at the U.S.

Why does Margaret E. Martin 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 Margaret E. Martin?

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 Margaret E. Martin.

Tags

  • 1912 births
  • 2012 deaths
  • 20th-century American women civil servants
  • 21st-century American women
  • American civil servants
  • American statisticians
  • American women economists
  • American women statisticians
  • Economists from New York (state)
  • Elected Members of the International Statistical Institute
  • Fellows of the American Statistical Association
  • Presidents of the American Statistical Association

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