For a repeated-measures study,if other factors are held constant,then an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

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By increasing the sample size, the power of the study increases, which increases the likelihood of finding statistically significant results. This is because larger sample sizes tend to reduce random error and increase the precision of the estimate, thereby making it easier to detect differences among groups.

For a Repeated-Measures Study,if Other Factors Are Held Constant,then an Increase