What is Statistical Hypothesis?

A statistical hypothesis has been defined as “a hypothesis about the parameters or probability distribution for a designated population or populations” or, more generally, a probabilistic mechanism that is supposed to generate the observations. It is also described as “a statement about the nature of a population.” It is frequently expressed as a population parameter. A statistical hypothesis is a postulation, assertion, or inference about one or more population parameters or the nature or character of anything. The parameters of the population are always the subject of statistical hypotheses. The sample’s final test statistic determines whether the hypothesis is accepted or rejected. A statistical hypothesis should not be described as data-specific but as distribution parameters of random variables.

Using a method called hypothesis testing, one may learn if a hypothesis is accurate or not. A statistical hypothesis test’s primary goal is to determine if a data sample is typical or atypical relative to the population, supposing the hypothesis is true.

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