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

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The independent-measures t-test's significance is influenced by the difference between the means relative to the variability (variance) within the groups. Larger variances increase the denominator of the t-test formula, potentially lowering the t-value and making it harder to find a significant difference.

If Other Factors Are Held Constant,the Larger the Values for the Two