Glossary
Hypothesis Test
Hypothesis testing is the use of statistics to determine the probability that a given hypothesis is true. The usual process of hypothesis testing consists of four steps, (1) to Formulate the Null Hypothesis, (2) to identify a Test Statistic that can be used to assess the truth of the Null Hypothesis, (3) to Compute the p-value which is the probability that a test statistic at least as significant as the one observed would be obtained assuming that the Null Value be true and, (4) to Compare the p-value to an acceptable significance value, known as the Alpha Value.