## What is the Significance of Null Hypothesis?

Null hypothesis is a statement that describes the expected outcome of a research study or experiment. It is used to test the validity of a hypothesis and is the opposite of the alternative hypothesis. The null hypothesis is important in the field of statistics and scientific research as it helps researchers to draw conclusions about the data they have collected.

In statistics, the null hypothesis is an assumption that there is no difference between the observed data and the expected data. It is used to test the validity of a hypothesis and is the opposite of the alternative hypothesis. The null hypothesis states that the observed data is due to chance and not due to any underlying relationship. The null hypothesis is also known as the “no difference” hypothesis.

The null hypothesis is used in a variety of scientific experiments and research studies. It is used to test the validity of a hypothesis and is the opposite of the alternative hypothesis. It is used to determine whether the observed data is due to chance or due to an underlying relationship.

The significance of the null hypothesis is that it allows researchers to draw conclusions about the data they have collected. It helps researchers to determine if their hypothesis is valid or not. It also helps researchers to determine if their data is due to chance or due to an underlying relationship.

The null hypothesis is an important concept in the field of statistics and scientific research. It helps researchers to draw conclusions about the data they have collected and to determine if their hypothesis is valid or not. It is a powerful tool that helps researchers to make informed decisions about their research and experiments.