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For the independent-measures t statistic, what is the effect of
increasing the sample variances?
| Decrease the likelihood of rejecting H0 and increase measures of effect size. |
| Increase the likelihood of rejecting H0 and decrease measures of effect size. |
| Decrease the likelihood of rejecting H0 and decrease measures of effect size. |
| Increase the likelihood of rejecting H0 and increase measures of effect size. |
Answer
Answer: C That is, decrease the likelihood of rejecting Haand increasing measures of effect size. Since, increasing the difference between the sample means is another wayof saying that there is more variance in the samples. If there is more variance between the samples, it will be more difficult to reject the null hypothesis and the effect size will be diminished.
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