When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of $\mu _ { 1 } - \mu _ { 2 }$ is approximately Student t-distributed with n₁ + n₂ - 2 degrees of freedom.

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When the population variances are unequal, the unequal-variances test statistic of $\mu _ { 1 } - \mu _ { 2 }$ is approximately Student t-distributed with n₁ + n₂ - 2 degrees of freedom.

When the Population Variances Are Unequal, We Estimate Each Population μ1−μ2\mu _ { 1 } - \mu _ { 2 }μ1​−μ2​

When the Population Variances Are Unequal, We Estimate Each Population $\mu _ { 1 } - \mu _ { 2 }$