If the Student t distribution is incorrectly used instead of the Standard normal distribution when finding the confidence interval for the population mean, and the population variance was known, what will happen to the width of the confidence interval? $\begin{array}{|l|l|}
\hline A&\text {The confidence interval would have the same width. }\
\hline B&\text { The confidence interval would be wider than it should be, as t is flatter than $ Z $. }\
\hline C&\text { The confidence interval will be narrower than it should be as $ t $ is flatter than $ Z $. }\
\hline D&\text { None of these choices are correct.}\
\hline
\end{array}$

Question

If the Student t distribution is incorrectly used instead of the Standard normal distribution when finding the confidence interval for the population mean, and the population variance was known, what will happen to the width of the confidence interval? $\begin{array}{|l|l|}
\hline  A&\text {The confidence interval would have the same width. }\
\hline  B&\text { The confidence interval would be wider than it should be, as t is flatter than $ Z $. }\
\hline  C&\text { The confidence interval will be narrower than it should be as $ t $ is flatter than $ Z $. }\
\hline  D&\text { None of these choices are correct.}\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of If the Student t distribution is incorrectly used instead of the Standard normal distribution when finding the confidence interval for the population mean, and the population variance was known, what will happen to the width of the confidence interval? $\begin{array}{|l|l|}
\hline  A&\text {The confidence interval would have the same width. }\
\hline  B&\text { The confidence interval would be wider than it should be, as t is flatter than $ Z $. }\
\hline  C&\text { The confidence interval will be narrower than it should be as $ t $ is flatter than $ Z $. }\
\hline  D&\text { None of these choices are correct.}\
\hline 
\end{array}$

If the Student T Distribution Is Incorrectly Used Instead of the Standard