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in statistics, the hypothesis suggests that there is no effect or no difference.
the hypothesis proposes that there is an effect or a difference.
the probability of observing the data, or something more extreme, if the null hypothesis is true, is called the.
the threshold below which the p - value must fall to reject the null hypothesis is known as the level.
a error occurs when the null hypothesis is incorrectly rejected.
In statistics, the null hypothesis assumes no effect or difference. The alternative hypothesis claims an effect or difference. The p - value is the probability of data (or more extreme) if the null is true. The significance level is the p - value threshold for rejecting the null. A Type I error is wrongly rejecting the null.
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- null
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