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Investopedia explains 'P-Value'
Because different researchers use different levels of significance when examining a question, a reader may sometimes have difficulty comparing results from two different tests.
For example, if two studies of returns from two particular assets were done using two different significance levels, a reader could not compare the probability of returns for the two assets easily. For ease of comparison, researchers will often feature the p-value in the hypothesis test and allow the reader to interpret the statistical significance themselves. This is called a p-value approach to hypothesis testing.
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