ArticleslgStudy

mathematics

Harold F. Dodge

Harold F. Dodge 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 Harold F. Dodge rather than just read about it. In short: Harold French Dodge (January 23, 1893 – December 10, 1976) was one of the principal architects of the science of statistical quality control. He is known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks.

Key takeaways

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

Reference excerpt

Harold French Dodge (January 23, 1893 – December 10, 1976) was one of the principal architects of the science of statistical quality control. He is known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks.

Early life Harold French Dodge was born on January 23, 1893, in Lowell, Massachusetts. His father was the photographer William Hanson Dodge. Dodge graduated with a Bachelor of Science in electrical engineering from the Massachusetts Institute of Technology in 1916. He graduated with a Master of Arts in mathematics and physics from Columbia University in 1922.

Career Dodge worked as a quality result engineer at Bell Labs in New York City from 1917 to 1958. In the early 1930s, he worked with Harry Romig in developing the Dodge-Romig Sampling Inspection Tables. At Bell Labs, he also worked with Walter Shewhart, George Edwards, R. L. Jones, Paul Olmstead, E.G.D. Paterson, and Mary N. Torrey. During his tenure with Bell Labs, he was involved in developing some of the basic concepts of acceptance sampling alongside his peers, including consumer's risk, producer's risk, double sampling, lot tolerance percent defective (LTPD) and average outgoing quality limit (AOQL). He also originated types of acceptance sampling schemes, CSP type continuous sampling plans, chain sampling plans and skip-lot sampling plans. During World War II, Dodge had an office in the Pentagon and served as a consultant to the Secretary of War. He was a quality assurance consultant for NASA from 1961 to 1962 a consultant for Sandia Corporation from 1958 to 1967. He was chairman of the American Standards Association (later the American National Standards Institute) War Committee Z1, which prepared the Z1.1, Z1.2, and Zl.3 quality control standards. He developed Army Ordnance standard sampling tables and was an instructor at more than 30 Army Ordnance quality control training conferences. He chaired the American Society for Quality's Standards Committee and became the first chairman of the American Society for Testing and Materials (ASTM)'s committee on quality and standards (E11) in 1946. From 1958 to 1970, he was professor of applied and mathematical statistics at the graduate college of Rutgers University's Statistics Center. He had patents on telephone instruments and electrical stethoscopes. He wrote articles on the analysis of heart and lung sounds and had dozens of articles on sampling inspection and quality control in technical publications. Dodge was a member of the planning board in Mountain Lakes, New Jersey, for 17 years.

Personal life Dodge married Mildred Grace Lovelass, daughter of Cyrus W. Lovelass, on July 15, 1922. They had a son and two daughters, H. Stuart, Dorothy and Helen. Dodge died on December 10, 1976, at his home on Briarcliff Road in Mountain Lakes.

Awards Dodge was an honorary fellow of the Royal Statistical Society. He was a fellow of the Institute of Mathematical Statistics and the American Statistical Association. In 1950, ASTM gave Dodge the Award of Merit. In 1954, ASTM named him the Marburg Lecturer and in 1968, he became an honorary member of ASTM. He was a recipient of the Shewhart Medal in 1949 and the Grant Award in 1972. He was a fellow and founding member of ASQ and was made an honorary member in 1965. In 1978, ASTM E11 committee named an award in his honor called the Harold F. Dodge Award for technical contributions.

References

Worked examples

Example 1 — a first encounter with Harold F. Dodge

Start with the simplest possible case. Write down what Harold F. Dodge 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 Harold F. Dodge 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 Harold F. Dodge 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 Harold F. Dodge

In research
Harold F. Dodge 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 Harold F. Dodge 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
Harold F. Dodge is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1893 births, 1976 deaths, 20th-century American educators, so understanding it makes those chapters shorter.
In everyday life
Look for Harold F. Dodge 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Harold F. Dodge” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Harold F. Dodge in 20 minutes

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

Frequently asked questions

What is Harold F. Dodge in simple terms?

Harold French Dodge (January 23, 1893 – December 10, 1976) was one of the principal architects of the science of statistical quality control. He is known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks.

Why does Harold F. Dodge 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 Harold F. Dodge?

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 Harold F. Dodge.

Tags

  • 1893 births
  • 1976 deaths
  • 20th-century American educators
  • 20th-century American statisticians
  • Columbia University alumni
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Fellows of the Royal Statistical Society
  • Massachusetts Institute of Technology alumni
  • People from Lowell, Massachusetts
  • People from Mountain Lakes, New Jersey
  • Quality experts

Keep exploring