Any opinion or idea may be formed about the population under study. Consider the following statements: The average consumption of sugar per month for a consumer is 1 kg; Intelligent parents have intelligent children; The average lifespan of people in Pakistan is higher than that of India; Proper greasing increases the life of ceiling fans; One variety of seed is better than the other; Allergy medication provides relief to at least 80% of people; Only 60% of people will go to the polling stations to vote. These statements are questions in different fields of life, and these questions can be answered after proper experimentation. These questions have come up through the process of investigation. This is how the hypotheses are generated during various studies.
When an assumption is explained in the form of a statement about the distribution of a population or populations, it is called a statistical hypothesis. Simply put, a statistical hypothesis is a statement about the unknown value of the population parameter, and the statement may be true or false.