Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means $\mu _ { 1 } - \mu _ { 2 }$ . Assume the population variances are known. The sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ is:
A)normally distributed.
B)approximately normal.
C)Student t-distributed with 88 degrees of freedom.
D)None of these choices.

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The Answer of Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means $\mu _ { 1 } - \mu _ { 2 }$ . Assume the population variances are known. The sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ is:
A)normally distributed.
B)approximately normal.
C)Student t-distributed with 88 degrees of freedom.
D)None of these choices.

Two Independent Samples of Sizes 40 and 50 Are Randomly μ1−μ2\mu _ { 1 } - \mu _ { 2 }μ1​−μ2​

Two Independent Samples of Sizes 40 and 50 Are Randomly $\mu _ { 1 } - \mu _ { 2 }$