Discussing 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.
Provide an example of the null hypothesis and a corresponding example of the alternative hypothesis. Please use examples related to business or school activities.