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Binomial test
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==Common use== One common use of the binomial test is the case where the [[null hypothesis|null hypothesizes]] that two categories occur with equal frequency (<math>H_0\colon\pi=0.5</math>), such as a coin toss. Tables are widely available to give the significance observed numbers of observations in the categories for this case. However, as the example below shows, the binomial test is not restricted to this case. When there are more than two categories, and an exact test is required, the [[multinomial test]], based on the [[multinomial distribution]], must be used instead of the binomial test.<ref name="Howell">{{cite book|last1=Howell|first1=David C.|title=Statistical methods for psychology|date=2007|publisher=Thomson|location=Belmont, Calif.|isbn=978-0495012870|edition=6.}}</ref> Most common measures of effect size for Binomial tests are [[Cohen's h]] or [[Cohen's g]].
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