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Researchers are interested in answering many types of questions.These types of questions can be addressed through statistical hypothesis testing, which is a decision-making process for evaluating claim about a population.In hypothesis testing, the researchers must define the population under study, state the particular hypothesis that will be investigated, give the significance level, select a sample from the population, collect the data, perform the calculations required for the statistical test, and reach a conclusion.

Researchers are interested in answering many types of questions. For example;
a scientist might want to know whether the earth is warming up. A physician
might want to know whether a new medication will lower a person's blood
pressure. An educator might wish to see a new teaching technique is better than
a traditional one. A retail merchant might want to know whether the public
prefers a certain color in a new line of fashion. Automobile manufacturers are
interested in determining whether seat belts will reduce the severity of injuries
caused by accidents. These types of questions can be addressed through
statistical hypothesis testing, which is a decision-making process for evaluating
claim about a population.
In hypothesis testing, the researchers must define the population under study,
state the particular hypothesis that will be investigated, give the significance
level, select a sample from the population, collect the data, perform the
calculations required for the statistical test, and reach a conclusion.