In hypothesis testing, there are two competing hypotheses – the null hypothesis and the alternative hypothesis. The null hypothesis usually reflects the status quo (for example, the proposed new treatment is ineffective and the observed results are just due to chance variation). The hypothesis which competes with the null hypothesis as an explanation for observed data is called the alternative hypothesis.
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