ABSTRACT
Statistical inference is the process by which one draws conclusions regarding a population from the results observed in a sample. This inference can be used to construct the hypothesis for testing. Hypothesis testing is used in many situations such as pure and applied research, validation of a claim, and decision-making situations. The methodology of hypothesis testing requires that they specify the maximum allowable probability of an error type. A test using one tail of the curve is called one-tailed; for example, values greater than mean plus two standard deviations. This chapter uses probability of obtaining a sample result to test the hypothesis. A statistical technique called analysis of a variance is used to test the hypothesis that the means of more than two populations are equal. Hypothesis testing is a statistical procedure that uses sample data to decide whether a statement about the value of a population parameter should be accepted or rejected.
