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

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The larger the sample size, the greater the power of the test, which increases the likelihood of finding a significant difference if one exists. However, it is important to note that other factors, such as the size of the difference between the groups and the variability within the groups, also affect the likelihood of finding a significant difference.

If Other Factors Are Held Constant,the Larger the Two Sample