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- Status quo- what is commonly believed or accepted

- Status quo- is always represented by Ho (null hypothesis)

Ex. Should we introduce a new product/service? Status quo: not introduce it

Ex. Should we stop engaging in a marketing action? Status quo: keep going

Null hypothesis

Interpretation of statistical information can often involve the development of a null-hypothesis in that the assumption is that whatever is proposed as a cause has no effect on the variable being measured.

The best illustration for a novice is the predicament encountered by a jury trial. The null hypothesis, H0, asserts that the defendant is innocent, whereas the alternative hypothesis, H1, asserts that the defendant is guilty. The indictment comes because of suspicion of the guilt. The H0 (status quo) stands in opposition to H1 and is maintained unless H1 is supported by evidence "beyond a reasonable doubt". However,"failure to reject H0" in this case does not imply innocence, but merely that the evidence was insufficient to convict. So the jury does not necessarily accept H0 but fails to reject H0. While one can not "prove" a null hypothesis one can test how close it is to being true with a, which tests for type II errors

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14y ago

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