<P> In inferential statistics, the term "null hypothesis" is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups . 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; the field of statistics gives precise criteria for rejecting a null hypothesis . </P> <P> The null hypothesis is generally assumed to be true until evidence indicates otherwise . In statistics, it is often denoted H (read "H - nought", "H - null", "H - oh", or "H - zero"). </P>

In any test of hypothesis to reject the null hypothesis is to
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