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Null hypothesis is a hypothesis that states that there is no significant difference between two or more variables. It is used in research to test the validity of a hypothesis. The null hypothesis is usually the opposite of what the researcher believes to be true. It is important to note that the null hypothesis is not assumed to be true, but rather used as a starting point for testing.

In order to test a hypothesis, researchers must first establish a null hypothesis. This is done by stating a hypothesis that is the opposite of what the researcher believes to be true. For example, if the researcher believes that there is a relationship between two variables, then the null hypothesis would state that there is no relationship between the two variables. Once the null hypothesis is established, the researcher can then use statistical tests to determine the validity of the hypothesis.

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If the results of the statistical tests show that the null hypothesis is true, then the researcher can conclude that there is no relationship between the two variables. On the other hand, if the results of the statistical tests show that the null hypothesis is false, then the researcher can conclude that there is a relationship between the two variables.

The null hypothesis is an important concept in research as it allows researchers to test the validity of hypotheses. By establishing a null hypothesis, researchers can determine whether or not a hypothesis is true or false. This is an essential part of the scientific process and helps researchers to gain a better understanding of the data they are working with.