A manufacturer produces lots of a canned food product. Let p denote the proportion of the lots that do not meet the product quality specifications. An n = 33, c = 0 acceptance sampling plan will be used. (a) Compute points on the operating characteristic curve when p = 0.01, 0.03, 0.10, and 0.20. (Round your answers to four decimal places.) с p = 0.01 P = 0.03 p = 0.10 P = 0.20 0 0.7177 0.3860 (b) Plot the operating characteristic curve. 1.00 0.80 0.60 0.40 0.20 0.00 5 15 10 Percent Defective in the Lot 5 10 15 20 Percent Defective in the Lot 5 10 20 15 Percent Defective in the Lot 5 10 15 Percent Defective in the Lot (c) What is the probability that the acceptance sampling plan will reject a lot containing 0.03 defective? (Round your answer to four decimal places.) 0.5331 X Probability of Accepting the Lot Probability of Accepting the Lot 1.00 0.80 + 0.60+ 0.40 0.20 0.00 0.0309 20 20 Probability of Accepting the Lot Probability of Accepting the Lot 1.00 0.80 0.60 0.40 0.20+ 0.00 1.00 0.80 + 0.60+ 0.40 0.20 0.00 0.0006
A manufacturer produces lots of a canned food product. Let p denote the proportion of the lots that do not meet the product quality specifications. An n = 33, c = 0 acceptance sampling plan will be used. (a) Compute points on the operating characteristic curve when p = 0.01, 0.03, 0.10, and 0.20. (Round your answers to four decimal places.) с p = 0.01 P = 0.03 p = 0.10 P = 0.20 0 0.7177 0.3860 (b) Plot the operating characteristic curve. 1.00 0.80 0.60 0.40 0.20 0.00 5 15 10 Percent Defective in the Lot 5 10 15 20 Percent Defective in the Lot 5 10 20 15 Percent Defective in the Lot 5 10 15 Percent Defective in the Lot (c) What is the probability that the acceptance sampling plan will reject a lot containing 0.03 defective? (Round your answer to four decimal places.) 0.5331 X Probability of Accepting the Lot Probability of Accepting the Lot 1.00 0.80 + 0.60+ 0.40 0.20 0.00 0.0309 20 20 Probability of Accepting the Lot Probability of Accepting the Lot 1.00 0.80 0.60 0.40 0.20+ 0.00 1.00 0.80 + 0.60+ 0.40 0.20 0.00 0.0006
Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
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![### Acceptance Sampling Plan for Canned Food Products
**Concept Overview:**
A manufacturer produces lots of canned food products. Let \( p \) denote the proportion of the lots that do not meet the product quality specifications. An acceptance sampling plan is used where \( n = 33 \) and \( c = 0 \) to determine if a lot should be accepted or rejected.
#### (a) Operating Characteristic (OC) Curve Data
The table below provides computed points on the operating characteristic curve for different values of \( p \) (defect proportion):
- \( p = 0.01 \)
- \( p = 0.03 \)
- \( p = 0.10 \)
- \( p = 0.20 \)
| \( c \) | \( p = 0.01 \) | \( p = 0.03 \) | \( p = 0.10 \) | \( p = 0.20 \) |
|:------:|:---------:|:---------:|:---------:|:---------:|
| 0 | 0.7177 | 0.3660 | 0.0309 | 0.0008 |
#### (b) OC Curve Visualization
The OC curve is pivotal in acceptance sampling as it illustrates the probability of accepting a lot given a certain proportion of defectives. Below are four graphs, each plotting "Probability of Accepting the Lot" against "Percent Defective in the Lot". The correct plot corresponding to the provided data is indicated.
1. **First Graph**:
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- This plot shows a declining trend from approximately 0.98 to nearly 0 as the defectives increase from 0 to 20 percent.
2. **Second Graph**:
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- Featuring a steep decline from 1.00 to just above zero as defectives increase from 0 to 20 percent.
3. **Third Graph** (Incorrect Selection):
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- Incorrect as the probabilities tend to remain higher beyond the acceptable defectives range.
4. **Fourth Graph** (](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4959d4f7-c515-4b84-8a14-00389cef5562%2Feb95749c-14d8-42e9-8924-a1a94855d6bb%2F7in1ues_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Acceptance Sampling Plan for Canned Food Products
**Concept Overview:**
A manufacturer produces lots of canned food products. Let \( p \) denote the proportion of the lots that do not meet the product quality specifications. An acceptance sampling plan is used where \( n = 33 \) and \( c = 0 \) to determine if a lot should be accepted or rejected.
#### (a) Operating Characteristic (OC) Curve Data
The table below provides computed points on the operating characteristic curve for different values of \( p \) (defect proportion):
- \( p = 0.01 \)
- \( p = 0.03 \)
- \( p = 0.10 \)
- \( p = 0.20 \)
| \( c \) | \( p = 0.01 \) | \( p = 0.03 \) | \( p = 0.10 \) | \( p = 0.20 \) |
|:------:|:---------:|:---------:|:---------:|:---------:|
| 0 | 0.7177 | 0.3660 | 0.0309 | 0.0008 |
#### (b) OC Curve Visualization
The OC curve is pivotal in acceptance sampling as it illustrates the probability of accepting a lot given a certain proportion of defectives. Below are four graphs, each plotting "Probability of Accepting the Lot" against "Percent Defective in the Lot". The correct plot corresponding to the provided data is indicated.
1. **First Graph**:
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- This plot shows a declining trend from approximately 0.98 to nearly 0 as the defectives increase from 0 to 20 percent.
2. **Second Graph**:
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- Featuring a steep decline from 1.00 to just above zero as defectives increase from 0 to 20 percent.
3. **Third Graph** (Incorrect Selection):
- X-axis: Percent Defective in the Lot
- Y-axis: Probability of Accepting the Lot
- Incorrect as the probabilities tend to remain higher beyond the acceptable defectives range.
4. **Fourth Graph** (
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