It is common to make two types of errors while drawing conclusions in research: In statistics, during a statistical survey or a research, a hypothesis gotta be set and defined. It is termed as a statistical hypothesis It is actually an assumption for the population parameter. Though, it is definite that this hypothesis is always proved to be true. The hypothesis testing. refers to the predefined formal procedures that are used by statisticians whether to accept or reject the hypotheses. Hypothesis testing is defined as the process of choosing hypotheses for a particular probability distribution, on the basis of observed data Hypothesis testing is simply a core and important topic in statistics. In the research hypothesis testing, a hypothesis is an optional however important detail of the phenomenon. The null hypothesis is defined as a hypothesis that is aimed to challenge a researcher. Generally, the null hypothesis represent the current explanation or the vision of a feature which the researcher is going to test. Hypothesis testing includes the tests that are used to determine the outcomes that’d lead to the rejection of a null hypothesis in order to get a specified level of significance. This helps to know if the results have enough information, provided that conventional wisdom is being utilized for the establishment of null hypothesis. A hypothesis testing is utilized in the reference of a research study. Hypothesis test is used to evaluate and analyze the results of the research study. Let us learn more about this topic.