Scientific Models Vocabulary

2. A variable or constant that defines the limits or conditions of a model or simulation.
4. Information from the output of a model that is used to adjust or refine the model’s inputs or parameters.
8. An educated guess or prediction about a scientific phenomenon, often tested through models.
10. The degree of difficulty in understanding or representing a system due to its many interconnected parts.
12. An observable event or occurrence that scientists try to explain or predict using models.
14. A physical or mathematical model that represents a real object or system in reduced size or in proportion to actual dimensions.
15. A factor or condition that can be changed or controlled in an experiment or model.
16. A simplified version of a system, removing unnecessary details to focus on the most essential features.
18. A standard or reference used in an experiment or model to compare results and ensure consistency.
19. A set of interconnected parts working together as a whole, such as the Earth system, climate system, or solar system.

1. A forecast or expected outcome based on a model or hypothesis.
3. A condition or premise taken for granted when creating or testing a model.
5. Information collected during an experiment or simulation, often used to support or refine a model.
6. A well-substantiated explanation of some aspect of the natural world that can incorporate laws, hypotheses, and facts.
7. A way of illustrating a model or phenomenon, such as through graphs, charts, or diagrams.
9. A process of imitating a real-world process or system using a model to predict or analyze its behavior.
11. A model or diagram that depicts a concept or system in a more understandable or manageable form.
13. A simplified representation of a system or phenomenon used to explain or predict how something works.
14. The size or proportion used to represent the real-world dimensions of a system in a model.
17. The extent to which a model accurately represents real-world processes or systems.