In: Statistics and Probability
A random sample of surgical procedures was selected each month for 30 consecutive months, and the number of procedures with post-operative complications was recorded. The data are listed in the accompanying table.
Months |
Complications |
Procedure Sampled |
1 |
8 |
107 |
2 |
7 |
90 |
3 |
12 |
70 |
4 |
7 |
103 |
5 |
8 |
70 |
6 |
50 |
100 |
7 |
7 |
65 |
8 |
5 |
80 |
9 |
7 |
97 |
Answer:-
Given That:-
A random sample of surgical procedures was selected each month for 30 consecutive months, and the number of procedures with post-operative complications was recorded. The data are listed in the accompanying table.
What type of control chart is the most appropriate to analyze the process?
Data is of Yes/No Type is i.e,
# of defectives/cpmplications in a sample. attribute chart is suitable.
Since sample size varies
Therefore p chart is most appropriate.
Compute the critical boundaries for the control chart.
For p-chart (proportion complication)
(for constant sample size)
Since sample sizes are variables.
Therefore Control limits will also be varrying.
is proportion complication for each month
= 111/782
= 0.141944
Therefore For variable Sample size
So From p-chart.
sample # 6 fail & is out of control.
Interpret the chart. Does the process appear to be in control? Explain.
Therefore Process is out of control because sample # 6 has to highest # of complication.
Therefore one need to inspect for the pressure of special cause going to failure of process to remain in control.
Sample sie | Complications | |
107 | 8 | |
90 | 7 | |
70 | 12 | |
103 | 7 | |
70 | 8 | |
100 | 50 | |
65 | 7 | |
80 | 5 | |
97 | 7 | |
Sum | 782 | 111 |
Below is the minitab output.
Above is the test conducted for special cause. sample # 6 has failed in 1st test so process is out of control.
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