Complete the following statement: The smaller the p-value associated with a test of hypothesis, the stronger the support for the _____ hypothesis. Explain your answer.

A hypothesis is an assumption formed based on facts. This is the first step in every inquiry that converts research issues into forecasts. It consists of variables, a population, as well as the relationship among the variables. A research hypothesis is a theory used to evaluate the link among two or more variables. A hypothesis is a tested assertion regarding the connection among two or more factors or a suggested solution for some observable occurrence in a scientific setting. The hypothesis in a scientific research study or experiment is a summary of the researcher's forecast of the report's results that may or may not be validated by the conclusion. The scientific theory is built around hypothesis testing.

The lower the p-value associated with a hypothesis test, the more evidence there is for the alternative hypothesis. A p-value reflects the probability of seeing a finding at least as far away from the null hypothesis as possible, assuming it is true. As a result, the smaller this score, the more likely the alternative hypothesis will be correct. One of the assertions made in the hypothesis test is the alternative hypothesis. In general, the purpose of a hypothesis test is to show that there is substantial proof in the given situation to justify the believability of an alternative hypothesis rather than the exclusive assertion in the test null hypothesis.