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.

Could you please not use the answer below? Thank you.

Suppose we want to test whether how students of a particular university of two different schools perform in a test in a certain subject.

We then we collect the data regarding the performance of the students of both schools in that particular subject and check whether they are equal or not. We then compare means of the marks obtained by the students in each school.

The null and alternative hypotheses are given as;

H0

:1

=2

(Nullhypothesis)

H1

:1

=2

(Alternativehypothesis)

Where1

and2

are the means of marks of 1st school and 2nd school respectively.