​If other factors are held constant, how does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen’s d?   Question options: a. ​Larger sample variance increases the likelihood but has little influence on measures of effect size. b. ​Larger sample variance increases both the likelihood and measures of effect size. c. ​Larger sample variance decreases the likelihood but has little influence on measures of effect size. d. ​Larger sample variance decreases both the likelihood and measures of effect size.

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

Question options:

a.
​Larger sample variance increases the likelihood but has little influence on measures of effect size.
b.
​Larger sample variance increases both the likelihood and measures of effect size.
c.
​Larger sample variance decreases the likelihood but has little influence on measures of effect size.
d.
​Larger sample variance decreases both the likelihood and measures of effect size.
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