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If data conflicts with a scientific theory, then the theory must change or be abandoned. Scientific discipline requires the scientist putting forward a theory to attempt to disprove it before publishing his or her findings. Once published, the proposed theory is subjected to peer review, in which other scientists, competent in the relevant discipline, attempt to disprove the hypothesis. Only after thorough checking is a proposed theory accepted by the scientific community. Even then, it is constantly subjected to stress testing and analysis, as new data come to light.
For example, Newtonian physics were eventually found to be invalid in special circumstances identified by Albert Einstein, and the relevant theories were amended accordingly.
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What will not be valid with scientific theory?
Guessing, inventing data.
What can a law or theory be changed?
All it takes is new data.
What two things must a theory do?
A theory must provide an explanation for an observation and be reinforced by observational data and experimentation.
If a theory does not agree with the experiments which were designed to test it what two choices to you have?
You either discard your theory, or you can modify it so that it matches the data you have collected.
How is Scientific law and scientific theory diffrent?
A scientific law is the description of a recurring event that occurs in nature. A scientific theory is an explanation of the law. The law does not change, but the theory may change when new data indicate that it needs to.
Is a theory a type of data?
No. A theory is formed when lots of data point to a probability. Further data may modify the theory.
What is against the big bang theory?
There is currently no observational data that fundamentally conflicts with the Big Bang model. There are however some people that have trouble accepting the model: they are very much against it.
What is the difference between calculated data and raw data in science?
Calculated data is data attained from a theory and or formula. Raw data is data accumulated from an observation or experiment. If the calculated data from a theory is successful in predicting the raw data of an observation/experiment, then the theory is strengthened.
What happens when you don't resolve conflicts?
stalemate
What is the difference between a theory and data?
A theory is a well-supported explanation for phenomena based on observation, experimentation, and analysis. Data refers to the facts, figures, or information collected from experiments, surveys, or observations, which are used to support or refute a theory. In summary, a theory is an overarching explanation, while data are the specific observations that inform and test that theory.
Is a theory a measurement of data?
No
What explains why or how something happens?
it is a Theory! :)
Suppose the data does not support the hypothesis What should you do to the theory that you gave the hypothesis?
It ultimately depends on what your theory is. Sometimes the fact that your data doesn't support your hypothesis means that the theory from which the hypothesis was derived was altogether wrong and is therefore discarded. Other times it might just mean a simple modification of the original theory, to accommodate the new-found evidence.The most important thing to remember is that your data will not always support your hypothesis, and in the event that such happens, you end learning a whole lot more.A.B.C.D.its A
A general explanation for a broad range of data is called a?
A theory.
Which of these is NOT a way that scientists collect data?
There is only one way not to collect data. The only way that is not a good way to collect data is theory development.
What is the difference between theory driven and data driven research?
Theory-driven research is guided by existing theories and hypotheses, while data-driven research relies on analyzing data to generate insights and patterns without predefined theories. In theory-driven research, the focus is on testing and confirming existing theories, whereas data-driven research focuses on exploring and discovering patterns in the data to derive new insights.
What is an explanation supported by a reliable body of data?
It's the definition of theory.
