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You assume that things that happened repeatedly in a certain way in the past will happen the same way under the same conditions in the future. If you throw a ball up in the air 500 times and it comes down 500 times, you then predict that if you throw a piano into the air it will come down as well. If you throw a helium balloon up in the air for the first time, you might predict it will also come down. When it does not, this means the theory must be rejected or changed to explain what is different this time. If you have a hydrogen balloon and throw it into the air, you might predict that since your helium balloon did not come down and hydrogen is more similar to helium than it is to a piano, then the hydrogen balloon will keep going as well.

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How do scientists make predictions?

Scientists make predictions with a hypothesis. Using their observations, models, and other scientists' work, they create a statement of a possible outcome called a hypothesis. Then scientists design tests to check whether their prediction was true.


What scientist makes predictions about the path of a hurricane?

Meteorologists, specifically those specializing in tropical meteorology, are the scientists who make predictions about the path of hurricanes. They use a combination of satellite data, computer models, and historical data to analyze and forecast a hurricane's trajectory, intensity, and potential landfall. These predictions are crucial for issuing warnings and preparing for potential impacts on affected areas.


What helps us to make predictions about the future?

Knowledge, experience, and our ability to extrapolate past trends into the future help to make predictions about the future, but do not guarantee those predictions will come to pass.


How did scientists come up up with models?

Scientists come up with models by trying to find a mathematical description of some phenomenon, which will give predictions that can be verified experimentally.


What do scientists use to represent things they cannot directly study?

Scientists use models to represent things they cannot directly study. Models are simplified, abstract versions of complex systems or phenomena that help scientists make predictions and understand how these systems work. They can range from physical models, such as scale replicas, to mathematical models and computer simulations.

Related Questions

Scientists use models to represent real situationsand to make?

...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.


How do scientists make predictions?

Scientists make predictions with a hypothesis. Using their observations, models, and other scientists' work, they create a statement of a possible outcome called a hypothesis. Then scientists design tests to check whether their prediction was true.


What type of scientists might make predictions about the path of a hurricane?

A meteorologist.


When scientists make predictions that can be tested what skill is being used?

The hypothesis ithink


Why do scientists make predictions?

becoz dey wana see if der ges is right


What is the main criterion by which scientists judge the usefulness of a model?

Its ability to make predictions which can be tested.


Why scientists make predictions?

becoz dey wana see if der ges is right


Which is not a reason why scientists are limited in their ability to make predictions to climate change?

because scientist are payed by the government


Why are theories used?

Scientific theories enable scientists to make accurate predictions about new situations.


How can scientist test the correctness of a scientific model?

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.


How can a scientist test the correctness of a scientist model?

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.


WHAT SCIENTISTS USE PRIOR EXPERIENCE TO?

predictions.