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

Question

Quizplus · Accepted Answer

Larger sample sizes generally lead to more accurate estimates of the population parameters, increasing the power of the t-test to detect a significant difference if one exists.

If Other Factors Are Held Constant, the Larger the Larger