Which of the following best describes the Central Limit Theorem? $\begin{array}{|l|l|}
\hline A&\text { If the distribution of a random variable is non-normal, the sampling distribution of the sample}\
&\text {mean will be approximately normal for samples $ n \geq 30 $. }\
\hline B&\text {The sample mean is close to 0.50 . }\
\hline C&\text {The underlying population is normal. }\
\hline D&\text { All of these choices are correct.}\
\hline
\end{array}$

Question

Which of the following best describes the Central Limit Theorem? $\begin{array}{|l|l|}
\hline  A&\text { If the distribution of a random variable is non-normal, the sampling distribution of the sample}\
&\text {mean will be approximately normal for samples $ n \geq 30 $. }\
\hline  B&\text {The sample mean is close to 0.50 . }\
\hline  C&\text {The underlying population is normal. }\
\hline  D&\text { All of these choices are correct.}\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of Which of the following best describes the Central Limit Theorem? $\begin{array}{|l|l|}
\hline  A&\text { If the distribution of a random variable is non-normal, the sampling distribution of the sample}\
&\text {mean will be approximately normal for samples $ n \geq 30 $. }\
\hline  B&\text {The sample mean is close to 0.50 . }\
\hline  C&\text {The underlying population is normal. }\
\hline  D&\text { All of these choices are correct.}\
\hline 
\end{array}$

Which of the Following Best Describes the Central Limit Theorem