For the independent-measures t statistic,what is the effect of increasing the difference between sample means? 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)Decrease the likelihood of rejecting H₀ and increase measures of effect size. D)Decrease the likelihood of rejecting H₀ and decrease measures of effect size.

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The larger the difference between sample means, the larger the difference between the t statistic and the null hypothesis value, which increases the likelihood of rejecting the null hypothesis and finding a significant difference between the groups. Additionally, increasing the difference between sample means will also increase the effect size, as measured by Cohen's d, indicating a stronger practical significance of the observed difference.

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