State the difference between a research hypothesis and a null hypothesis
A hypothesis is speculation or theory, based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false. A null hypothesis is a hypothesis that says there is no statistical significance between the two variables.
What is the difference between the null hypothesis and the research hypothesis?
The null hypothesis:
States that results are due to chance, and not due to a significant effect of the theory/idea the research is testing.
The research hypothesis:
States that the results are not due to chance, and are due to a significant effect of the theory/idea the research is testing.
If the result from the research is significant, the research hypothesis is accepted and the null hypothesis is rejected.
Null hypothesis and Alternative Hypothesis
A hypothesis is an approximate explanation that relates to the set of facts that can be tested by certain further investigations. There are basically two types, namely, the null hypothesis and alternative hypothesis. Research generally starts with a problem. Next, these hypotheses provide the researcher with some specific restatements and clarifications of the research problem.
The criteria of the research problem in the form of a null hypothesis and an alternative hypothesis should be expressed as a relationship between two or more variables. The criteria are that the statements should be the one that expresses the relationship between the two or more measurable variables. The null hypothesis and alternative hypothesis should carry clear implications for testing and stating relations. The major differences between the null hypothesis and alternative hypothesis and the research problems are that the research problems are simple questions that cannot be tested. These two hypotheses can be tested, though.
The null hypothesis and alternative hypothesis are required to be fragmented properly before the data collection and interpretation phase in the research. Well, fragmented hypotheses indicate that the researcher has adequate knowledge in that particular area and is thus able to take the investigation further because they can use a much more systematic system. It gives direction to the researcher on his/her collection and interpretation of data.
The null hypothesis and alternative hypothesis are useful only if they state the expected relationship between the variables or if they are consistent with the existing body of knowledge. They should be expressed as simply and concisely as possible. They are useful if they have explanatory power.
The purpose and importance of the null hypothesis and alternative hypothesis are that they provide an approximate description of the phenomena. The purpose is to provide the researcher or an investigator with a relational statement that is directly tested in a research study. The purpose is to provide the framework for reporting the inferences of the study. The purpose is to behave like a working instrument of the theory. The purpose is to prove whether or not the test is supported, which is separated from the investigator’s own values and decisions. They also provide direction to the research.
The null hypothesis is generally denoted as H0. It states the exact opposite of what an investigator or an experimenter predicts or expects. It basically defines the statement which states that there is no exact or actual relationship between the variables. The alternative hypothesis is generally denoted as H1. It makes a statement that suggests or advises a potential result or an outcome that an investigator or the researcher may expect. It has been categorized into two categories: directional alternative hypothesis and non-directional alternative hypothesis.
The directional hypothesis is a kind that explains the direction of the expected findings. Sometimes this type of alternative hypothesis is developed to examine the relationship among the variables rather than a comparison between the groups. The non-directional hypothesis is a kind that has no definite direction of the expected findings being specified.