If other factors are held constant, how does sample size influence the likelihoo
ID: 3386995 • Letter: I
Question
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.
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.
Explanation / Answer
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
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