The **alternate hypothesis** is a statement that is contrary to the initial hypothesis. It is used in scientific experiments and research studies to test the validity of the initial hypothesis. The alternate hypothesis is the opposite of the null hypothesis, which is the statement that there is no difference between the two groups being studied. In order for the alternate hypothesis to be accepted, the data must show that the difference between the two groups is statistically significant.

In order to determine whether an alternate hypothesis is true, researchers must conduct an experiment or study that tests the initial hypothesis. This is typically done by comparing the results of the experiment or study to the null hypothesis. If the results of the experiment or study show that the difference between the two groups is statistically significant, then the alternate hypothesis is accepted. If the results of the experiment or study do not show that the difference between the two groups is statistically significant, then the null hypothesis is accepted.

The alternate hypothesis is an important part of the scientific process because it allows researchers to test the validity of their initial hypothesis. By testing the alternate hypothesis, researchers can determine whether their initial hypothesis is true or false. This helps to ensure that the results of the experiment or study are accurate and can be used to make decisions or draw conclusions.