If other factors are held constant,the larger the difference between the two sample means is,the greater the likelihood that the independent-measures t test will find a significant difference.

Question

Quizplus · Accepted Answer

The larger the difference between the two sample means, the greater the effect size. A larger effect size will result in a larger t-value and a smaller p-value, increasing the likelihood of finding a significant difference. Therefore, the statement is true.

If Other Factors Are Held Constant,the Larger the Difference Between