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Q: What does it mean to reject or accept your hypothesis?
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What does it mean if a scientist can't reject a hypothesis?

It means that she or he has to accept that the existing hypothesis appears to be true.


Can you accept and reject the null Hypothesis Why or why not?

Some people say you can either accept the null hypothesis or reject it. However, there are statisticians that insist you can either reject it or fail to reject it, but you can't accept it because then you're saying it's true. If you fail to reject it, you're only claiming that the data wasn't strong enough to convince you to choose the alternative hypothesis over the null hypothesis.


Would I accept or reject the null hypothesis if the probability of the obtained statistic is 0.001 and alpha is 0.05?

You should reject the null hypothesis.


What do scientist do after they have tested a hypothesis?

Depending on the results of that test, either accept or reject that hypothesis.


How do scientists decide whether or not to reject or accept a hypothesis?

if the hypothesis is proven to be correct or incorrect


What does the researcher hope to do with null hypothesis the opposite of the research hypothesis?

Be able to reject the null hypothesis and accept the research hypothesis


What does the researcher hope to do with the null hypothesis (the opposite of the research hypothesis)?

Be able to reject the null hypothesis and accept the research hypothesis


What does the researcher hope to do with the null hypothesis (the opposite of the research hypothesis)?

Be able to reject the null hypothesis and accept the research hypothesis


What is test statistic?

This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis


What do you mean when you reject a hypothesis on the basis of sample?

alternitive hypothesis


What does not accept mean?

reject


Difference between acceptance and rejection region?

Some researchers say that a hypothesis test can have one of two outcomes: you accept the null hypothesis or you reject the null hypothesis. Many statisticians, however, take issue with the notion of "accepting the null hypothesis." Instead, they say: you reject the null hypothesis or you fail to reject the null hypothesis. Why the distinction between "acceptance" and "failure to reject?" Acceptance implies that the null hypothesis is true. Failure to reject implies that the data are not sufficiently persuasive for us to prefer the alternative hypothesis over the null hypothesis.