If other factors are held constant how does sample size infl

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 r²and Cohen’s d?

A larger sample increases both the likelihood and measures of effect size.

A larger sample increases the likelihood but has little influence on measures of effect size.

A larger sample decreases the likelihood but has little influence on measures of effect size.

A larger sample decreases both the likelihood and measures of effect size.

Solution

A larger sample increases the likelihood but has little influence on measures of effect size.

because as we know if the sample size increase has a little influence on measures of effect size, that is proportional for the null hypothesis

if we have a bigger sample we will have less error, and we will have more accuracy