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Q: Why can a hypothesis be valuable even if its wrong?
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How can rejecting be just as valuable or more valuable than supporting a hypothesis?

Rejecting a hypothesis shows you that it was wrong and it shows you what not to do. It can help lead you to a better, more accurate hypothesis the next time.


What will make Alexis' hypothesis valuable?

Any testable hypothesis is valuable.


What does it mean if a scientist fails to rejects a hypothesis?

the hypothesis has not been proven wrong.


What is a hypothesis on a science project?

a hypothesis is an educated guess on a science project and even know it seems like it is wrong it is not a hypotheses is a educated guess


How is data valuable to scientists?

Hi, Data is valuable to scientists because it helps tell them if there hypothesis was correct or wrong. It also tells them more about the subject they are studying. :p :0 :) Your welcome ()~() ( '~') l l


What is a bad hypothesis or a wrong hypothesis?

there is never really a wrong hypothesis because its basically just a guess....


What is Rejected Hypothesis?

It is when you know that your hypothesis is wrong.


Why do scientists consider every hypothesis valuable A. A hypothesis requires no further investigation if it is proved by the experiment. B. A hypothesis can be used to explain a conclusion even if it?

B. A hypothesis can never be proven. It can be supported, unsupported, or partially supported by the experimental evidence. The experimental data resulting from a tested hypothesis can be used to formulate a new hypothesis.


Should you ever modify a hypothesis?

You can modify it(if u think it your hypothesis is wrong). However,a hypothesis is actually a guess of the result.Thus, it has no right or wrong in your hypothesis.


What happens to a hypothesis when something is wrong?

the Hypothesis would probably be also wrong but its okay because a hypothesis is a educated guess


Is a scientific hypothesis a accepted if there is no way to demonstrate that the hypothesis is wrong?

If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community.* Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.


Can a hypothesis still be right even if the experiment says it is wrong?

Yes, although if the experiment is performed correctly there should be relatively little chance of this occurring. This is referred to as a type II error in statistics - the data supports rejecting the hypothesis even though the hypothesis is correct.