All else being equal (the same sample size, same level of significance, and so on), the parametric procedure will result in a higher probability of your correctly rejecting the null hypothesis.

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Parametric tests are generally more powerful than non-parametric tests when their assumptions are met, meaning they have a higher probability of detecting a true effect (correctly rejecting the null hypothesis) when it exists.

All Else Being Equal (The Same Sample Size, Same Level