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.
Sample Solution