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John Bailer

John Bailer 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 John Bailer rather than just read about it. In short: John Bailer is an American statistician. He retired as University Distinguished Professor of Statistics at Miami University in Ohio, USA in 2022.

Key takeaways

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

Reference excerpt

John Bailer is an American statistician. He retired as University Distinguished Professor of Statistics at Miami University in Ohio, USA in 2022. He was also affiliated with the Departments of Media, Journalism and Film, Biology and Sociology and Gerontology at Miami. His work focused on risk assessment in occupational health, and combining journalism to statistics. He created the podcast Stats+Stories, which “Addresses The Story Behind The Statistics And The Statistics Behind The Stories.” It is sponsored by the American Statistical Association and is hosted on National Public Radio podcasts and other podcast locations. In 2021, Bailer and his podcast colleagues received the JBPM Communications Award. Bailer received his PhD in Biostatistics from University of North Carolina in 1986. He is a fellow of the American Statistical Association and of the Society for Risk Analysis, an elected member of the International Statistical Institute and an elected fellow of the American Association for the Advancement of Science. He has received several Distinguished Teaching awards at Miami University, and the American Statistical Association Founders Award. He was a member of the Executive Committee of the International Statistical Institute 2013-2021, serving the last two years as president. He has published some 150 peer-reviewed papers and five books.

Publications Piegorsch W.W. and Bailer A.J. (1997) Statistics for Environmental Biology and Toxicology. Chapman and Hall: London. Piegorsch W.W. and Bailer A.J. (2000) Solutions Manual for Statistics for Environmental Biology and Toxicology. Chapman and Hall/CRC: Boca Raton, FL. Piegorsch W.W. and Bailer A.J. (2005) Analyzing Environmental Data. John Wiley & Sons: West Sussex, England. Bailer A.J. (2010) Statistical Programming in SAS. SAS Press: Cary, NC. (Kindle version: Dec. 2010). Bailer A.J. (2019) Statistical Programming in SAS 2nd Ed. Chapman and Hall/ CRC Press: Boca Raton, FL. Bailer A.J. and Pennington, R. (2022) Statistics Behind the Headlines. ASA-CRC Series on Statistical Reasoning in Science and Society. Chapman and Hall/ CRC Press: Boca Raton London NY. Bailer A.J. and Pennington, R. (2024) Statistics Behind the Headlines. AUDIOBOOK (freely available Spotify).

References

Worked examples

Example 1 — a first encounter with John Bailer

Start with the simplest possible case. Write down what John Bailer 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 John Bailer 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 John Bailer 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 John Bailer

In research
John Bailer 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 John Bailer 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
John Bailer is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American statisticians, Elected Members of the International Statistical Institute, Fellows of the American Association for the Advancement of Science, so understanding it makes those chapters shorter.
In everyday life
Look for John Bailer 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 John Bailer in 20 minutes

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

Frequently asked questions

What is John Bailer in simple terms?

John Bailer is an American statistician. He retired as University Distinguished Professor of Statistics at Miami University in Ohio, USA in 2022.

Why does John Bailer 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 John Bailer?

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 John Bailer.

Tags

  • 21st-century American statisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the American Statistical Association
  • Living people
  • Miami University faculty
  • Recipients of the American Statistical Association Founders Award
  • SAS Institute people
  • Statistics educators
  • University of North Carolina alumni

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