Question: hypothesis testing may sound like a complicated task. It really should not be. In simple terms, the whole process is about assumptions. Analysts assume that

hypothesis testing may sound like a complicated task. It really should not be. In simple terms, the whole process is about assumptions. Analysts assume that something has validity, and they need to test whether such an assumption can be rejected. If an assumption has validity, then people can make more accurate predictions. In short, it is about assumptions and testing whether these assumptions were valid.

What is an example of a null hypothesis and a corresponding example of an alternative hypothesis in regards to business or school related activities?

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