The act of determining the validity of the hypothesis based on the collected data is called the testing of hypothesis.Hypothesis is a tool that allows for social annotation, the ability for students to annotate an electronic document as they read, and for those annotations to be available to their classmates for comment. Unless the hypothesis is tested, it will only remain an inference or a proposition. Testing of hypothesis can be considered as the most important step in any type of research work as it determines the fruitfulness of the research work. The testing of hypothesis thus represents the end of the research work. After the hypothesis is formulated in the context of a research problem, next process involves a collection of relevant data and information and analysis of the same using an appropriate statistical technique, which proves or disproves the hypothesis formulated in the beginning. The average age of entry into the labour market is not 22 years (‘“ 22)Īs stated in the beginning, the hypothesis formulation marks the beginning of any research.The average age of entry into the labour market is less than 22 years (The average age of entry into the labour market is greater than 22 years (> 22).In such a case the alternative hypothesis can be as under However, the collected data and information, when analysed, reveals that Hypothesis the average entry age is greater than or less than 22 years, then the null hypothesis gets rejected. The average age of entry in to the labour market of commerce graduates is 22 years. In short, while framing hypothesis for research work, it is important that at least two hypotheses are framed, one of which is a null hypothesis and the other one is an alternative hypothesis.įor instance, a null hypothesis and alternative hypothesis can be as below. The logic behind formulating a null hypothesis is that it is always easy to prove that a statement is wrong than to prove that a statement (research hypothesis) is cent percent true. Like the research or alternative hypothesis, the null hypothesis is also a statement. Null hypothesis is also called a hypothesis with no difference. Null hypothesis on the other hand is the exact opposite of research or alternative hypothesis. Researcher’s job is to collect information and data so as to prove the alternative hypothesis so that it can be accepted. The main hypothesis of the research work is the research hypothesis or the alternative hypothesis. In the context of research work and while performing the hypothesis testing exercise, both the alternative hypothesis which is to be proved and accepted and null hypothesis, which is to be disproved, are important and required. The nature of the hypothesis should be such that it enables the researcher to find out something new, something which is previously unknown. While framing such hypotheses utmost care is to be taken while using the concepts. In order to put the research work in an operative mode, several alternative hypotheses are made in the beginning. It thus implies that every hypothesis is subject to change. In the case of such a hypothesis also it becomes necessary that new or additional information is collected. Hypothesis should be concerned with observable facts and empirical events.Hypothesis should be consistent with the theory.Hypothesis should be within the ambit of the available research techniques.The characteristics of a good hypothesis can be listed as below. It is only the few hypotheses satisfying certain criteria that are good, useful and directive in the research work undertaken. Not all the hypotheses are good and useful from the point of view of research. Hypothesis is not to be considered as the ultimate objective rather it is to be taken as the means of explaining scientifically the prevailing situation. Instead, it is a philosophical means which is to be used for research purpose.
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