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Statistical Research Group

Statistical Research Group 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 Statistical Research Group rather than just read about it. In short: The Statistical Research Group (SRG) was a research group at Columbia University focused on military problems during World War II. Abraham Wald, Allen Wallis, Herbert Solomon, Frederick Mosteller, George Stigler, Leonard Jimmie Savage and Milton Friedman were all part of the group in which 18 researchers participated.

Key takeaways

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

Reference excerpt

The Statistical Research Group (SRG) was a research group at Columbia University focused on military problems during World War II. Abraham Wald, Allen Wallis, Herbert Solomon, Frederick Mosteller, George Stigler, Leonard Jimmie Savage and Milton Friedman were all part of the group in which 18 researchers participated. Wallis, Stigler and Friedman met as graduate students at the University of Chicago. Despite their shared alma mater there is no evidence that Stigler and Friedman had grown close before serving on the SRG staff together in New York City. The SRG was disbanded at the end of World War II.

Background Statistical analysis was widely used by Federal agencies after the New Deal. The statistical publications of the United States became more sophisticated between 1930 and 1940. During the mobilization to war (1940-1941) and continuing on during the war, statistics continued to gain in importance with applications in operations research and management information systems (MIS). The Statistical Control System in the Air Force developed under Colonel C.B. Thornton, was an example of a wartime MIS. Its mission was to provide "a continuous flow of detailed information on the status of many parts of the Air Force, including personnel, supply, operations, and basic data upon which to base attrition rates, sortie rates, crew rotation rates, maintenance needs, supply rates, etc."

Organization The Statistical Research Group (SRG) at Columbia University was supported by the Applied Mathematics Panel (AMP) or the National Defense Research Committee (NDRC), part of the Office of Scientific Research and Development (OSRD).

History While teaching at Stanford during the war years, Allen Wallis wrote to a friend at the Census Bureau:

Those of us teaching statistics in various departments here are trying to work out a curriculum adapted to the immediate statistical requirements of the war. It seems probably that a good many students with research training might by training in statistics become more useful for war than in their present work, or might increase their usefulness within their present fields." Friedman wrote an appendix called "A Cautionary Tale about Multiple Regressions" that was published in Alternative Approaches to Analyzing Economic Data in which he says that, as a researcher at SRG, he constructed two new alloys to be used in aircraft engines. His work was based on a regression model that made use of data on existing alloys. Using this model he predicted that it would take several hundred hours for the new alloys to rupture at high temperatures.

References

Worked examples

Example 1 — a first encounter with Statistical Research Group

Start with the simplest possible case. Write down what Statistical Research Group 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 Statistical Research Group 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 Statistical Research Group 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 Statistical Research Group

In research
Statistical Research Group 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 Statistical Research Group 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
Statistical Research Group is common in secondary-school and first-year university syllabi. It links to neighbouring topics History of Columbia University, Military history of New York City, Research groups, so understanding it makes those chapters shorter.
In everyday life
Look for Statistical Research Group 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 Statistical Research Group in 20 minutes

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

Frequently asked questions

What is Statistical Research Group in simple terms?

The Statistical Research Group (SRG) was a research group at Columbia University focused on military problems during World War II. Abraham Wald, Allen Wallis, Herbert Solomon, Frederick Mosteller, George Stigler, Leonard Jimmie Savage and Milton Friedman were all part of the group in which 18 resea…

Why does Statistical Research Group 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 Statistical Research Group?

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 Statistical Research Group.

Tags

  • History of Columbia University
  • Military history of New York City
  • Research groups
  • Statistical organizations
  • Technical intelligence during World War II
  • United States home front during World War II

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