What is the hypothesis called when no statistically significant difference is found between two variables?

The hypothesis that states there is no statistically significant difference between two variables is known as the null hypothesis. It serves as a foundational concept in statistical testing, establishing a baseline that any observed effects in the data can be compared against. When researchers conduct experiments or analyses, they typically aim to determine whether there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis, which posits that there is a difference or effect present.

In the context of hypothesis testing, finding no significant difference means that the data do not provide sufficient evidence to support the alternative hypothesis. This is a key aspect of research, as it helps to clarify the relationships between variables and can influence future studies and interpretations of data. Understanding the null hypothesis is crucial for properly conducting experiments and interpreting their results within the broader framework of scientific inquiry.