An adverse drug effect (ADE) is an unintended injury caused by prescribed medication. The table summarizes the proximal cause of 95 ADEs that resulted from a dosing error at a Boston hospital. $\begin{array}{lc}
\hline \text { WRONG DOSAGE USE } & \text { NUMBER OF ADEs } \
\hline \text { (1) Lack of knowledge of drug } & 29 \
\text { (2) Rule violation } & 17 \
\text { (3) Faulty dose checking } & 13 \
\text { (4) Slips } & 9 \
\text { (5) Other } & 27 \
\hline \text { TOTAL } & 95
\end{array}$
In order to determine whether the true percentages of ADEs in the five "cause" categories differ, a chi-square analysis was conducted. Use the chi-square distribution to determine the rejection region when testing at $\alpha = 0.025$.
A) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } 14.4494$
B) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } 12.8325$
C) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } 9.48773$
D) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } 11.1433$

Question

An adverse drug effect (ADE) is an unintended injury caused by prescribed medication. The table summarizes the proximal cause of 95 ADEs that resulted from a dosing error at a Boston hospital. $\begin{array}{lc}
\hline \text { WRONG DOSAGE USE } & \text { NUMBER OF ADEs } \
\hline \text { (1) Lack of knowledge of drug } & 29 \
\text { (2) Rule violation } & 17 \
\text { (3) Faulty dose checking } & 13 \
\text { (4) Slips } & 9 \
\text { (5) Other } & 27 \
\hline \text { TOTAL } & 95
\end{array}$
In order to determine whether the true percentages of ADEs in the five "cause" categories differ, a chi-square analysis was conducted. Use the chi-square distribution to determine the rejection region when testing at $\alpha = 0.025$.
A) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 14.4494$
B) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 12.8325$
C) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 9.48773$
D) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 11.1433$

Quizplus · Accepted Answer

The Answer of An adverse drug effect (ADE) is an unintended injury caused by prescribed medication. The table summarizes the proximal cause of 95 ADEs that resulted from a dosing error at a Boston hospital. $\begin{array}{lc}
\hline \text { WRONG DOSAGE USE } & \text { NUMBER OF ADEs } \
\hline \text { (1) Lack of knowledge of drug } & 29 \
\text { (2) Rule violation } & 17 \
\text { (3) Faulty dose checking } & 13 \
\text { (4) Slips } & 9 \
\text { (5) Other } & 27 \
\hline \text { TOTAL } & 95
\end{array}$
In order to determine whether the true percentages of ADEs in the five "cause" categories differ, a chi-square analysis was conducted. Use the chi-square distribution to determine the rejection region when testing at $\alpha = 0.025$.
A) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 14.4494$
B) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 12.8325$
C) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 9.48773$
D) Reject $\mathrm { H } _ { 0 }$ if $\chi ^ { 2 } > 11.1433$

An Adverse Drug Effect (ADE) Is an Unintended Injury Caused