Given:
Size of lot (N)=1900
Sample Size (n) =125
Acceptance Number (c)=2
Proportion defective (p) can be calculated as :
For np=1.8,
For np=4.2,
For np=6.0,
So these values of p completes the Column 1 for p.
Now column 2 can be obtained by multiplying p values with 100.
Now let's fill the column 3 (np) values,
For p=0.0016,
For p=0.008,
For p=0.012,
For p=0.0224,
For p=0.0416,
...
Given:
Size of lot (N)=1900
Sample Size (n) =125
Acceptance Number (c)=2
Proportion defective (p) can be calculated as :
For np=1.8,
For np=4.2,
For np=6.0,
So these values of p completes the Column 1 for p.
Now column 2 can be obtained by multiplying p values with 100.
Now let's fill the column 3 (np) values,
For p=0.0016,
For p=0.008,
For p=0.012,
For p=0.0224,
For p=0.0416,
For p=0.0512,
Now let's calculate the Probability of acceptance by the cumulative Poisson formula,
We have to calculate P_a for each value of p,
For p=0.016
For p=0.008,
For p=0.012,
Similarly we can calculate P_a for all values of p, which are shown in the attached image.
Now let' calculate AOQ,
If
Then, AOQ
Now let's calculate AOQ,
For p=0.0016,
For p=0.008,
Similarly we can calculate AOQ, for other values of p.
Please refer to the attached image, where all calculations are shown.
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