In inferential statistics, the term "null hypothesis"
usually refers to a general statement or default position that there is
no relationship between two measured phenomena, or no association among
groups.[1] Rejecting or disproving the null hypothesis—and thus concluding that there are grounds for believing that there is
a relationship between two phenomena (e.g. that a potential treatment
has a measurable effect)—is a central task in the modern practice of
science, and gives a precise criterion for rejecting a hypothesis.
The null hypothesis is generally assumed to be true until evidence indicates otherwise. In statistics, it is often denoted H0 (read “H-nought”, "H-null", or "H-zero").
https://en.wikipedia.org/wiki/Null_hypothesis
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