The Principles of Experimentation
E765766
The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Principles of Experimentation canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8912935 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Principles of Experimentation Context triple: [The Design of Experiments, hasNotableChapter, The Principles of Experimentation]
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A.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
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B.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
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C.
Some Considerations Touching the Usefulness of Experimental Natural Philosophy
Some Considerations Touching the Usefulness of Experimental Natural Philosophy is a 17th-century work by Robert Boyle that defends and promotes the value of experimental methods in the study of nature.
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D.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
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E.
The Principles of Empirical or Inductive Logic
The Principles of Empirical or Inductive Logic is a foundational 19th-century work by John Venn that systematically explores the theory and methodology of inductive reasoning in logic and probability.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Principles of Experimentation Target entity description: The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
-
A.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
B.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
C.
Some Considerations Touching the Usefulness of Experimental Natural Philosophy
Some Considerations Touching the Usefulness of Experimental Natural Philosophy is a 17th-century work by Robert Boyle that defends and promotes the value of experimental methods in the study of nature.
-
D.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
-
E.
The Principles of Empirical or Inductive Logic
The Principles of Empirical or Inductive Logic is a foundational 19th-century work by John Venn that systematically explores the theory and methodology of inductive reasoning in logic and probability.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
book chapter
ⓘ
scientific methodology text ⓘ |
| aimsTo |
improve experimental rigor
ⓘ
reduce confounding factors ⓘ support valid causal inference ⓘ |
| covers |
bias in experimental research
ⓘ
external validity ⓘ internal validity ⓘ measurement reliability ⓘ measurement validity ⓘ sources of experimental error ⓘ |
| describes |
control of variables
ⓘ
experimental design principles ⓘ hypothesis formulation ⓘ operational definitions of variables ⓘ randomization in experiments ⓘ replication in experiments ⓘ use of control groups ⓘ |
| emphasizes |
ethical considerations in experimentation
ⓘ
objective observation ⓘ reproducibility of results ⓘ systematic data collection ⓘ |
| focusesOn |
conducting scientific experiments
ⓘ
interpreting experimental results ⓘ planning scientific experiments ⓘ |
| isPartOf | a larger work on scientific method ⓘ |
| isUsedIn |
methodology courses
ⓘ
scientific research training ⓘ |
| outlines |
fundamental concepts of experimentation
ⓘ
methodological guidelines for experiments ⓘ |
| providesGuidanceFor |
analyzing experimental data
ⓘ
designing experiments ⓘ interpreting experimental findings ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: The Principles of Experimentation Description of subject: The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.