In testing the difference between two population means, using two independent samples, the sampling distribution of the sample mean difference $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is normal if the:
A)sample sizes are both greater than 30.
B)populations are normal.
C)populations are non-normal and the sample sizes are large.
D)All of these choices are correct.

Question

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The Answer of In testing the difference between two population means, using two independent samples, the sampling distribution of the sample mean difference $\bar { X } _ { 1 } - \bar { X } _ { 2 }$ is normal if the:
A)sample sizes are both greater than 30.
B)populations are normal.
C)populations are non-normal and the sample sizes are large.
D)All of these choices are correct.

In Testing the Difference Between Two Population Means, Using Two Xˉ1−Xˉ2\bar { X } _ { 1 } - \bar { X } _ { 2 }Xˉ1​−Xˉ2​

In Testing the Difference Between Two Population Means, Using Two $\bar { X } _ { 1 } - \bar { X } _ { 2 }$