Two independent samples of sizes 30 and 40 are randomly selected from two populations to test the difference between the population means, µ$\mu$ ₂ - µ$\mu$ ₁_,where the population variances are unknown. Which of the following best describes the sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ ? $\begin{array}{|l|l|} \hline \text { A. } & \text { Normal. } \ \hline \text { B. } & t \text {-distributed with } 68 \text { degrees of freedom. } \ \hline \text { C. } & \text { Approximately normal. } \ \hline \text { D. } & \text { None of these choices are correct. } \ \hline \end{array}$

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The Answer of Two independent samples of sizes 30 and 40 are randomly selected from two populations to test the difference between the population means, µ$\mu$ ₂ - µ$\mu$ ₁_,where the population variances are unknown. Which of the following best describes the sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ ? $\begin{array}{|l|l|} \hline \text { A. } & \text { Normal. } \ \hline \text { B. } & t \text {-distributed with } 68 \text { degrees of freedom. } \ \hline \text { C. } & \text { Approximately normal. } \ \hline \text { D. } & \text { None of these choices are correct. } \ \hline \end{array}$

Two Independent Samples of Sizes 30 and 40 Are Randomly μ\muμ

Two Independent Samples of Sizes 30 and 40 Are Randomly $\mu$