A p-value is a statistical measure that signifies the likelihood of observing a consequence as excessive as, or extra excessive than, the one which was noticed, assuming that the null speculation is true. In different phrases, it’s the likelihood of getting a consequence that’s as excessive or extra excessive than the one you noticed, assuming that there isn’t a actual impact.
P-values are used to check the statistical significance of a consequence. A low p-value (sometimes lower than 0.05) signifies that the result’s unlikely to have occurred by likelihood, and due to this fact gives proof in favor of the choice speculation. A excessive p-value (sometimes better than 0.05) signifies that the result’s more likely to have occurred by likelihood, and due to this fact doesn’t present proof in favor of the choice speculation.
