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Why is a hypothesis important even if the evidence fails to support it?
Wiki User
∙ 9y ago
When working through an idea using the rules of the scientific method, you first must start out with a statement of what you hope to find or prove. It's the "What I want to find" to the Method & Methodologies' "How I am going to find it." Even if the data or evidence fail(s) to support it, you still need the statement of purpose. If the statement and results are not a good fit, then the statement (hypothesis) can be revised or thrown out.
Wiki User
∙ 9y ago
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What dose it mean if a scientist fails to reject a hypothesis?
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
When drawing a conclusion scientist examine the data to see if it supports or fails to support the hypothesis?
Drawing Conclusions
When can a scientific theories be changed?
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
What are the common steps in the scientific method of solving a problem?
1) Identify the problem/issue 2) Gather data 3) Formulate a hypothesis or make a prediction of what will happen 4) Test the hypothesis - - - if the experiment "fails", modify the process and try again 5) Analyze the results and draw a conclusion.
Why should a hypothesis's be testable?
It must be testable in order to be found true or false. -Apex
Why is a hypothesis important even if evidence fails to support it?
When working through an idea using the rules of the scientific method, you first must start out with a statement of what you hope to find or prove. It's the "What I want to find" to the Method & Methodologies' "How I am going to find it." Even if the data or evidence fail(s) to support it, you still need the statement of purpose. If the statement and results are not a good fit, then the statement (hypothesis) can be revised or thrown out.
When drawing a conclusion-scientist examine the data to see if it supports or fails to support the hypothesis?
I no
When drawing a conclusion scientists examine the data to see if it supports or fails to support the hypothesis?
I no
What does it mean if a scientist fails to rejects a hypothesis?
the hypothesis has not been proven wrong.
What dose it mean if a scientist fails to reject a hypothesis?
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
What dose it mean if a scientists fails to reject a hypothesis?
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
Is it true that when drawing a conclusion scientists examine the data to see if it supports or fails to support the hypothesis?
Ideally that is how it goes, yes.
What does it a scientist fails to reject a hypothesis?
the hypothesis has not been proven wrong.
What does it mean when a scientist fails to reject a hypothesis?
It means that the experiment is consistent with the hypothesis. It adds to the credibility of the hypothesis.
When drawing a conclusion scientist examine the data to see if it supports or fails to support the hypothesis?
Drawing Conclusions
What causes a hypothesis to be rejected?
A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
Is the null hypothesis considered correct until proven otherwise?
No. The null hypothesis is not considered correct. It is an assumption, and hypothesis testing is a consistent meand of determining whether the data is sufficiently strong to say that it may be untrue. The data either supports the alternative hypothesis or it fails to reject it. See examples in links. Also note this quote from Wikipedia: "Statistical hypothesis testing is used to make a decision about whether the data contradicts the null hypothesis: this is called significance testing. A null hypothesis is never proven by such methods, as the absence of evidence against the null hypothesis does not establish it."
