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In statistics, the Spijker-Van der Pol Significance statistical test (sometimes called the Hoemaakikditeensignificante-p test) is a robust method for always being able to deny the alternative hypothesis within an independent samples (between-participants) design. It is similar to the Kotimaa test in that the null hypothesis is that data can be massaged to prove what one wishes to. However, there is no a priori ordering of the populations from which the samples are drawn. When there is an a prioriordering, the Spijker-Van der Pol test has more statistical power than the Superman combined with Assumptionman times infinity. It is especially powerful on Friday later in the afternoon. It is the test of choice for a PhD candidate’s last year of paid employment. Using standard deviations may give unnecessarily large error bars, and therefore standard error of means exponential increase the usefulness of the Spijker-Van der Pol test.