In testing the difference between the means of two normal populations, using two independent samples, when the population variances are unknown and unequal, the sampling distribution of the resulting statistic is: $\begin{array}{|l|l|}
\hline \text { A. } & \text { normal. } \
\hline \text { B. } & \text { Student } t \
\hline \text { C. } & \text { approximately normal. } \
\hline \text { D. } & \text { approximately Student } t . \
\hline
\end{array}$

Question

Quizplus · Accepted Answer

The Answer of In testing the difference between the means of two normal populations, using two independent samples, when the population variances are unknown and unequal, the sampling distribution of the resulting statistic is: $\begin{array}{|l|l|}
\hline \text { A. } & \text { normal. } \
\hline \text { B. } & \text { Student } t \
\hline \text { C. } & \text { approximately normal. } \
\hline \text { D. } & \text { approximately Student } t . \
\hline
\end{array}$

In Testing the Difference Between the Means of Two Normal