Models and assumptions
Choose what a model represents, make its simplifications explicit, and check whether its predictions answer the physical question you actually asked.
Key knowledge
A scientific model represents selected aspects of a system to explain or predict behavior. Its assumptions limit its domain, and comparison with observations can support, revise or reject its predictions.
Conditions and scope
- Agreement within one tested range does not establish accuracy in every regime.
Sources · 8
References
Sources retain their recorded scope. A source link alone does not establish verification of every statement.
- Physics · 1.2 The Scientific MethodsPaul Peter Urone and Roger Hinrichs · OpenStaxTextbook chapter
- Physics Part I · Chapter Two: Motion in a Straight LineNational Council of Educational Research and Training (NCERT), IndiaTextbook chapter · PDF
- University Physics Volume 1William Moebs, Samuel J. Ling and Jeff Sanny · OpenStax / Rice UniversityTextbook chapterUniversity Physics Volume 1 · 5.2 Newton's First LawUniversity Physics Volume 1 · 6.2 Friction
- NIST/SEMATECH e-Handbook of Statistical Methods · 5.5.9.9.8 Motivation: How do we Use the Model Beyond the Data Domain?National Institute of Standards and Technology (NIST) / SEMATECHReference guide
- Data analytics and modellingNational Physical Laboratory (NPL), United KingdomResearch project overview
- NGSS Appendix F: Science and Engineering Practices (2013)NGSS Lead States — Next Generation Science StandardsTeaching resource · PDF
- Scientific modellingUniversity of Waikato · Science Learning HubTeaching resource
Evidence and review
NGSS Appendix F, Practice 2: representations, assumptions, limitations and revision against evidence.
2026-10-10 · Modeling practice only; no particular model is validated by this entry.
Foundational review
2026-10-10 · Fresh primary-source inspection of the complete compact record, including every statement, equation, quantity and material condition, followed by independent AI editorial review. This check does not certify all linked lessons or every passage of every cited publication.
Sources from other places
Scope or convention differs
Scientific models select aspects of reality and are checked by comparing predictions with observations.
The examples agree on simplification and revision; they do not establish a numerical validity range for every model.
University of Waikato · Science Learning Hub
- Scientific modelling New ZealandEnglish
Why scientists use models; Building a model; Using models for predicting
- Scientific modelling
Related articles
Models, idealizations, and assumptions ↗Entry details
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