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Cases Quote by Norbert Wiener

“I may remark parenthetically that the modern apparatus of the theory of small samples, once it goes beyond the determination of its own specially defined parameters and becomes a method for positive statistical inference in new cases, does not inspire me with any confidence unless it is applied by…” quote by Norbert Wiener
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“I may remark parenthetically that the modern apparatus of the theory of small samples, once it goes beyond the determination of its own specially defined parameters and becomes a method for positive statistical inference in new cases, does not inspire me with any confidence unless it is applied by a statistician by whom the main elements of the dynamics of the situation are either explicitly known or implicitly felt.”

Norbert Wiener

About This Quote

Source Paper: “Statistical Inference and Small Samples”, 1950

Statistical methods for small samples are trustworthy only when the analyst deeply understands the situation’s dynamics, either explicitly or intuitively.

In simple terms: Small‑sample stats need expert insight to be reliable.

Key Takeaway

Seek deep contextual knowledge before trusting small‑sample results.

Themes

statistics expertise uncertainty methodology confidence

Mood

analytical cautious

Type

technical educational

When to use this quote

  • clinical trials
  • market research
  • policy analysis
  • quality control

Key Concepts

Bayesian inference small‑sample theory model validation

Questions to Reflect On

  • What contextual factors are most critical in your data?
  • How can you ensure expertise informs statistical choices?
A Different Perspective

Over‑reliance on formulas can mislead without contextual awareness.

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