Scientist use models
Scientist use models
Scientist use models
Scientist use models
Scientist use models
Scientist use models
Scientist use models
Scientists often rely on indirect methods to develop explanations about subjects that are impossible to study directly. They may use mathematical models, simulations, or analogies to represent complex phenomena. Additionally, they gather and analyze available data from related fields, conduct experiments under controlled conditions, and utilize observational studies to infer conclusions. Peer review and collaboration with experts help refine these explanations, ensuring they are grounded in evidence and logical reasoning.
they use controlled experiments to help them find out if it works or not.
To ensure results are of optimal percent error, scientists must manipulate only one variable. Therefore, they use controlled experiments.
Scientists develop explanations for subjects that cannot be studied through controlled experiments by using observational studies, correlational research, and theoretical modeling. They gather data from natural settings, analyze patterns, and draw inferences based on existing knowledge. Additionally, they may use simulations to test hypotheses and validate their findings against established scientific principles. Peer review and replication of results by other researchers also help strengthen the reliability of these explanations.
False
Scientists use controlled experiments because the results are consistent and can be replicated. The control of an experiment is the value that you are controlling the dependent variable to.