(Situation B) A manufacturing company makes hemostats for hospital emergency rooms. The company is interested in implementing statistical process control procedures in its production operation. The production manager believes that the proportion of defective hemostats generated by the process is about 3%. The company collected one sample of 300 consecutively manufactured hemostats each day for 20 days.
The data are shown below.
$$\begin{array} { c c c c c c }
\hline \text { Sample } & \text { Sample Size } & \text { Defectives } & \text { Sample } & \text { Sample Size } & \text { Defectives } \
\hline 1 & 300 & 8 & 11 & 300 & 12 \
2 & 300 & 6 & 12 & 300 & 11 \
3 & 300 & 11 & 13 & 300 & 14 \
4 & 300 & 15 & 14 & 300 & 8 \
5 & 300 & 12 & 15 & 300 & 7 \
6 & 300 & 11 & 16 & 300 & 3 \
7 & 300 & 9 & 17 & 300 & 9 \
8 & 300 & 6 & 18 & 300 & 11 \
9 & 300 & 5 & 19 & 300 & 10 \
10 & 300 & 4 & 20 & 300 & 6 \
\hline
\end{array}$$
-Construct the p-chart and interpret it.

Question

(Situation B) A manufacturing company makes hemostats for hospital emergency rooms. The company is interested in implementing statistical process control procedures in its production operation. The production manager believes that the proportion of defective hemostats generated by the process is about 3%. The company collected one sample of 300 consecutively manufactured hemostats each day for 20 days. 
The data are shown below. 
$$\begin{array} { c c c c c c } 
\hline \text { Sample } & \text { Sample Size } & \text { Defectives } & \text { Sample } & \text { Sample Size } & \text { Defectives } \
\hline 1 & 300 & 8 & 11 & 300 & 12 \
2 & 300 & 6 & 12 & 300 & 11 \
3 & 300 & 11 & 13 & 300 & 14 \
4 & 300 & 15 & 14 & 300 & 8 \
5 & 300 & 12 & 15 & 300 & 7 \
6 & 300 & 11 & 16 & 300 & 3 \
7 & 300 & 9 & 17 & 300 & 9 \
8 & 300 & 6 & 18 & 300 & 11 \
9 & 300 & 5 & 19 & 300 & 10 \
10 & 300 & 4 & 20 & 300 & 6 \
\hline
\end{array}$$
-Construct the p-chart and interpret it.

Quizplus · Accepted Answer

The Answer of (Situation B) A manufacturing company makes hemostats for hospital emergency rooms. The company is interested in implementing statistical process control procedures in its production operation. The production manager believes that the proportion of defective hemostats generated by the process is about 3%. The company collected one sample of 300 consecutively manufactured hemostats each day for 20 days. 
The data are shown below. 
$$\begin{array} { c c c c c c } 
\hline \text { Sample } & \text { Sample Size } & \text { Defectives } & \text { Sample } & \text { Sample Size } & \text { Defectives } \
\hline 1 & 300 & 8 & 11 & 300 & 12 \
2 & 300 & 6 & 12 & 300 & 11 \
3 & 300 & 11 & 13 & 300 & 14 \
4 & 300 & 15 & 14 & 300 & 8 \
5 & 300 & 12 & 15 & 300 & 7 \
6 & 300 & 11 & 16 & 300 & 3 \
7 & 300 & 9 & 17 & 300 & 9 \
8 & 300 & 6 & 18 & 300 & 11 \
9 & 300 & 5 & 19 & 300 & 10 \
10 & 300 & 4 & 20 & 300 & 6 \
\hline
\end{array}$$
-Construct the p-chart and interpret it.

(Situation B) a Manufacturing Company Makes Hemostats for Hospital Emergency