In hypothesis testing, the p-Value is the probability that an observed difference between two or more samples could have occurred by random chance. Before a hypothesis test is conducted, the experimenter decides on an acceptable level of α risk, and the p-Value must be lower than the α risk in order to conclude that a true change has taken place.
Generally a p-Value of less than 0.05 is considered acceptable for concluding that a statistically significant change has taken place.
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