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From Triola, 2009, it is: "The null hypothesis (dented by H0) is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value.".

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Q: What is the definition of a statistical null hypothesis?
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Continue Learning about Math & Arithmetic

What can power analysis be used to calculate?

Power analysis can be used to calculate statistical significance. It compares the null hypothesis with the alternative hypothesis and looks for evidence that can reject the null hypothesis.


What is null hypothsis?

It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.


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."


Explain what is meant by null hypothesis?

The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.


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