Give step-by-step solution with explanation and final answer:[Jee EL
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Student question © Time Left: 01:55:37 Tagthe question Step by-step Final solution
Subject [+
‘Suppose that 17% of produced items are known to be nonconforming. The firm analyzes a Statistics and Probability
ech of precio fn for 6 weet. The accompanying doa fe repors he sale
‘proportion of nenconforming items for each week. Click here for the Excel Data File a-1. P—
Cake th cererine, the upper conrl i (UCL. and th ower convo (LC) for Search nd Sect .
the chro the oporionof nonconforming ems fhe weekly batches consisted f SO
ems each. Clute he cererin, he upper antl (UCL), and he ower onl
(LCL) for the p chart for the proportion of nonconforming items if the weekly batches
consid of 100 ems each.
o ° J
Skip question ) Exit Back Next Submit your solution
. = En
EB Summers 4h. BH DE REBATE GE Mac rsaED a0 00
Question:
Give step-by-step solution with explanation and final answer: [Jee EL
€ 5 C= expertchegg.com/qna/authoring/ansier ax @ i
Chegg ewerosa Mysolutions Gude) Notifications ©
Student question © Time Left: 01:55:37 Tagthe question Step by-step Final solution
Subject [+
‘Suppose that 17% of produced items are known to be nonconforming. The firm analyzes a Statistics and Probability
ech of precio fn for 6 weet. The accompanying doa fe repors he sale
‘proportion of nenconforming items for each week. Click here for the Excel Data File a-1. P—
Cake th cererine, the upper conrl i (UCL. and th ower convo (LC) for Search nd Sect .
the chro the oporionof nonconforming ems fhe weekly batches consisted f SO
ems each. Clute he cererin, he upper antl (UCL), and he ower onl
(LCL) for the p chart for the proportion of nonconforming items if the weekly batches
consid of 100 ems each.
o ° J
Skip question ) Exit Back Next Submit your solution
. = En
EB Summers 4h. BH DE REBATE GE Mac rsaED a0 00
This is AI generated Response.
Asked by: anil
Created at: 2025-09-28 07:41:05
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## Step-by-Step Solution
Let's solve the problem step by step.
### **Given Data**
- Proportion of nonconforming items (\( \overline{p} \)) = 17% = **.17**
- Two cases:
1. **Batch size (\( n \)) = 50**
2. **Batch size (\( n \)) = 100**
For a **p-chart**, we use the following formulas:
- **Centerline (CL):**
\[
CL = \overline{p}
\]
- **Standard deviation (\( \sigma_p \)):**
\[
\sigma_p = \sqrt{\frac{\overline{p}(1-\overline{p})}{n}}
\]
- **Upper Control Limit (UCL):**
\[
UCL = \overline{p} + 3\sigma_p
\]
- **Lower Control Limit (LCL):**
\[
LCL = \overline{p} - 3\sigma_p
\]
If LCL is negative, set it to .
---
## **Case 1: Batch Size \( n = 50 \)**
### 1. **Calculate the Centerline**
\[
CL = .17
\]
### 2. **Calculate the Standard Deviation**
\[
\sigma_p = \sqrt{\frac{.17 \times (1 - .17)}{50}} = \sqrt{\frac{.17 \times .83}{50}}
\]
\[
= \sqrt{\frac{.1411}{50}} = \sqrt{.002822} \approx .0532
\]
### 3. **Calculate UCL and LCL**
\[
UCL = .17 + 3 \times .0532 = .17 + .1596 = .3296
\]
\[
LCL = .17 - 3 \times .0532 = .17 - .1596 = .0104
\]
---
## **Case 2: Batch Size \( n = 100 \)**
### 1. **Calculate the Centerline**
\[
CL = .17
\]
### 2. **Calculate the Standard Deviation**
\[
\sigma_p = \sqrt{\frac{.17 \times (1 - .17)}{100}} = \sqrt{\frac{.1411}{100}} = \sqrt{.001411} \approx .0376
\]
### 3. **Calculate UCL and LCL**
\[
UCL = .17 + 3 \times .0376 = .17 + .1128 = .2828
\]
\[
LCL = .17 - 3 \times .0376 = .17 - .1128 = .0572
\]
---
## **Final Answers (Rounded to 4 decimal places):**
### **A. For batch size = 50:**
- **Centerline (CL):** .170
- **UCL:** .3296
- **LCL:** .0104
### **B. For batch size = 100:**
- **Centerline (CL):** .170
- **UCL:** .2828
- **LCL:** .0572
---
### **Summary Table**
| Batch Size | Centerline (CL) | UCL | LCL |
|------------|-----------------|--------|--------|
| 50 | .170 | .3296 | .0104 |
| 100 | .170 | .2828 | .0572 |
If you need further explanation, feel free to ask!
This is AI generated Response.
Asked by: anil
Created at: 2025-09-28 07:48:20
Did you like this answer?
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# Step-by-Step Solution
Let's solve the problem step by step.
## Given Data
- **Proportion of nonconforming items (\( \overline{p} \))**: 17% or **0.17**
- **Batch sizes**:
1. \( n = 50 \)
2. \( n = 100 \)
## Formulas for p-chart
- **Centerline (CL)**:
\[
CL = \overline{p}
\]
- **Standard deviation (\( \sigma_p \))**:
\[
\sigma_p = \sqrt{\frac{\overline{p}(1-\overline{p})}{n}}
\]
- **Upper Control Limit (UCL)**:
\[
UCL = \overline{p} + 3\sigma_p
\]
- **Lower Control Limit (LCL)**:
\[
LCL = \overline{p} - 3\sigma_p
\]
If \( LCL \) is negative, set it to 0.
---
## Case 1: Batch Size \( n = 50 \)
### 1. Calculate the Centerline
\[
CL = 0.17
\]
### 2. Calculate the Standard Deviation
\[
\sigma_p = \sqrt{\frac{0.17 \times (1 - 0.17)}{50}} = \sqrt{\frac{0.17 \times 0.83}{50}} = \sqrt{\frac{0.1411}{50}} \approx 0.0532
\]
### 3. Calculate UCL and LCL
\[
UCL = 0.17 + 3 \times 0.0532 = 0.17 + 0.1596 = 0.3296
\]
\[
LCL = 0.17 - 3 \times 0.0532 = 0.17 - 0.1596 = 0.0104
\]
---
## Case 2: Batch Size \( n = 100 \)
### 1. Calculate the Centerline
\[
CL = 0.17
\]
### 2. Calculate the Standard Deviation
\[
\sigma_p = \sqrt{\frac{0.17 \times (1 - 0.17)}{100}} = \sqrt{\frac{0.1411}{100}} \approx 0.0376
\]
### 3. Calculate UCL and LCL
\[
UCL = 0.17 + 3 \times 0.0376 = 0.17 + 0.1128 = 0.2828
\]
\[
LCL = 0.17 - 3 \times 0.0376 = 0.17 - 0.1128 = 0.0572
\]
---
## Final Answers (Rounded to 4 decimal places)
### A. For Batch Size \( n = 50 \):
- **Centerline (CL)**: 0.1700
- **UCL**: 0.3296
- **LCL**: 0.0104
### B. For Batch Size \( n = 100 \):
- **Centerline (CL)**: 0.1700
- **UCL**: 0.2828
- **LCL**: 0.0572
---
## Summary Table
| Batch Size | Centerline (CL) | UCL | LCL |
|------------|-----------------|--------|--------|
| 50 | 0.1700 | 0.3296 | 0.0104 |
| 100 | 0.1700 | 0.2828 | 0.0572 |
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