scientists makes models so when they do the acual project they can see what to do from the scale size to the acual figure.
to do scale testing
Models are useful for (1) clarifying a complex set of information so that the scientists understand what they are working on and (2) to test the implications of what a scientist proposes on a smaller scale.
scientists use models to help them understand what they are working on
...to make predictions. Scientists will then compare their predictions to what happens in the real world. If their predictions equaled what happened in reality, the model is good. If the predictions were different, the scientists know they have to refine the model to better predict what will happen.
Its ability to make predictions which can be tested.
The scientists test whether the model can be used to make accurate predictions. Scientists in 1750 would have not been able to develop a table like Mendeleev because there was only 17 known elements to work with, the scientists would not have enough data.
The scientists test whether the model can be used to make accurate predictions. Scientists in 1750 would have not been able to develop a table like Mendeleev because there was only 17 known elements to work with, the scientists would not have enough data.
to learn from a model scientists must?
If the data shows that a model is wrong, scientists will revise the model or develop a new one that better fits the observed data. They may also investigate the sources of error or uncertainty in the data and make adjustments accordingly. The scientific process involves constant refinement and improvement, so scientists are open to modifying their models based on new evidence.
the quantum model is a freaking circle witha bunch of dots in it the we call a model. these swaggin scientists just roll up a bunch of yolos and make an answer out of their ides. mike puro is a swag master.
Flat model
Scientists make observations.
A model.
a model of a ear
Someone answer this