If Other Factors Are Held Constant,how Does Sample Size Influence

If other factors are held constant,how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

A) A larger sample increases both the likelihood and measures of effect size.
B) A larger sample increases the likelihood but has little influence on measures of effect size.
C) A larger sample decreases the likelihood but has little influence on measures of effect size.
D) A larger sample decreases both the likelihood and measures of effect size.

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