Ohara Manufacturing has decided to use an R-Chart to monitor the changes in the variability of their 36.00 pound copper wires. The production manager randomly samples 9 copper wires and measures the weight of the sample (in pounds) at 16 successive time periods. Table Answer How to enter your answer (opens in new window) Control Chart Step 1 of 7: What is the Center Line of the control chart? Round your answer to three decimal places. 2 Tables Copy Table Keypac Keyboard Shortcu

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Ohara Manufacturing has decided to use an R-Chart to monitor the changes in the variability of their 36.00 pound copper wires. The production manager randomly samples 9 copper wires and measures the weight of the sample (in pounds) at 16 successive time periods. 

**Table**  
**Control Chart**

**Step 1 of 7**: What is the Center Line of the control chart? Round your answer to three decimal places.

**Answer**  
[How to enter your answer (opens in new window)] 

*[Answer input box]*
Transcribed Image Text:Ohara Manufacturing has decided to use an R-Chart to monitor the changes in the variability of their 36.00 pound copper wires. The production manager randomly samples 9 copper wires and measures the weight of the sample (in pounds) at 16 successive time periods. **Table** **Control Chart** **Step 1 of 7**: What is the Center Line of the control chart? Round your answer to three decimal places. **Answer** [How to enter your answer (opens in new window)] *[Answer input box]*
The image contains a table and an R-Chart, which are tools used for statistical process control in quality management.

### R-Chart Description:
- **Title:** R-Chart
- **Y-Axis:** Sample Range (from 0.00 to 0.20)
- **X-Axis:** Period, labeled from 0 to 16
- **Data Points:** The chart is populated with discrete points representing the sample range for each period. The values fluctuate around a range of approximately 0.04 to 0.12.

### Table Description:
The table is positioned to the right of the R-chart and includes observational data across multiple periods.

- **Columns:**
  - **Period:** Numbered from 1 to 15
  - **Obs1 to Obs9:** Observations taken within each period
  - **Sample Range:** Variation within each set of observations

- **Data (Partial Sample):**
  - **Period 1:**
    - Obs1: 36.03
    - Obs2: 36.01
    - Obs3: 36.04
    - Obs4: 35.96
    - Obs5: 35.99
    - Obs6: 36.00
    - Obs7: 36.05
    - Obs8: 36.01
    - Obs9: 36.01
    - **Sample Range:** 0.08
  - **Period 15:**
    - Obs1: 35.99
    - Obs2: 36.03
    - Obs3: 36.02
    - Obs4: 35.99
    - Obs5: 36.00
    - Obs6: 35.99
    - Obs7: 35.97
    - Obs8: 36.04
    - Obs9: 35.98
    - **Sample Range:** 0.07

This dataset is utilized to monitor and control processes, identifying variations and ensuring consistency within manufacturing or production settings. Each period's sample range is plotted on the R-Chart to visualize the stability of the process over time.
Transcribed Image Text:The image contains a table and an R-Chart, which are tools used for statistical process control in quality management. ### R-Chart Description: - **Title:** R-Chart - **Y-Axis:** Sample Range (from 0.00 to 0.20) - **X-Axis:** Period, labeled from 0 to 16 - **Data Points:** The chart is populated with discrete points representing the sample range for each period. The values fluctuate around a range of approximately 0.04 to 0.12. ### Table Description: The table is positioned to the right of the R-chart and includes observational data across multiple periods. - **Columns:** - **Period:** Numbered from 1 to 15 - **Obs1 to Obs9:** Observations taken within each period - **Sample Range:** Variation within each set of observations - **Data (Partial Sample):** - **Period 1:** - Obs1: 36.03 - Obs2: 36.01 - Obs3: 36.04 - Obs4: 35.96 - Obs5: 35.99 - Obs6: 36.00 - Obs7: 36.05 - Obs8: 36.01 - Obs9: 36.01 - **Sample Range:** 0.08 - **Period 15:** - Obs1: 35.99 - Obs2: 36.03 - Obs3: 36.02 - Obs4: 35.99 - Obs5: 36.00 - Obs6: 35.99 - Obs7: 35.97 - Obs8: 36.04 - Obs9: 35.98 - **Sample Range:** 0.07 This dataset is utilized to monitor and control processes, identifying variations and ensuring consistency within manufacturing or production settings. Each period's sample range is plotted on the R-Chart to visualize the stability of the process over time.
Expert Solution
Step 1: Providing given information

Ohara manufacturer has decided to R-chart.

Given the value of the sample range.

Want to calculate the center line for the R chart?

steps

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