For an independent-measures t statistic,what is the effect of increasing the number of scores in the samples? A)Increase the likelihood of rejecting H₀ and increase measures of effect size B)Increase the likelihood of rejecting H₀ and decrease measures of effect size C)Increase the likelihood of rejecting H₀ and have little or no effect on measures of effect size D)Decrease the likelihood of rejecting H₀ and have little or no effect on measures of effect size

Question

Quizplus · Accepted Answer

Increasing the sample size increases the power of the test, which means that the likelihood of rejecting the null hypothesis increases. However, increasing sample size does not have a significant effect on the measure of effect size (such as Cohen's d), which reflect the practical significance of the difference between the means. Therefore, option C correctly describes the effect of increasing sample size on these parameters.

For an Independent-Measures T Statistic,what Is the Effect of Increasing