The ability of an acceptance sampling plan to distinguish between
![The ability of an acceptance sampling plan to distinguish between](http://storage.googleapis.com/tb-img/production/20/09/F1_Ashik_Madhu_28.09.20_D2.png)
A. Trend graph
B. Quality history
C. OC curve
D. None of these
Please scroll down to see the correct answer and solution guide.
Right Answer is: C
SOLUTION
Explanation:
Acceptance sampling:
Acceptance sampling is the process of evaluating a portion of the product/material in a lot for the purpose of accepting or rejecting the lot as either conforming or not conforming to a quality specification.
Operating Characteristic (OC) curve:
The operating characteristic curve for an attribute sampling plan is a graph of fraction defective in a lot against the probability of acceptance.
For any fraction defective p in a submitted lot, The OC curve shows the probability Pa that such a lot will be accepted by the sampling plan.
In a sampling plan, three parameters are specified,
N = lot size from which the samples are drawn,
n = sample size,
C = acceptance number
It means, takes a random sample of n from a lot of N if the sample contains more than C defective, rejects the lot otherwise accept the lot.
There are two terms on the OC curve:
Producer's risk:
- If the quality is good still from the sampling plan some lots are rejected the producer has to suffer.
- The producer risk is the probability of rejecting a good lot that otherwise would have been accepted.
Consumer's or Purchaser's risk:
- if the quality is bad still from the sampling plan some lots are to be accepted the consumer will suffer.
- Consumer's risk is the probability of defective lots being accepted which otherwise would have been rejected.