For a repeated-measures study,as the sample mean difference increases,the likelihood of rejecting the null hypothesis also increases.

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In a repeated-measures study, the sample mean difference refers to the difference between the means of two related groups (e.g. before and after a treatment). A larger sample mean difference indicates a stronger effect of the treatment or intervention, and therefore, an increased likelihood of rejecting the null hypothesis (which states that there is no significant difference between the means).

For a Repeated-Measures Study,as the Sample Mean Difference Increases,the Likelihood