Significance testing is a statistical method used to determine whether the results of a study are likely due to chance or if they reflect a true effect or relationship in the population. This process involves comparing the observed data against a null hypothesis, which assumes no effect or no difference, and calculating a p-value to assess the strength of evidence against this null hypothesis. Understanding significance testing is crucial when choosing appropriate analysis techniques, as it helps researchers make informed decisions about the validity of their findings.
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