**Learning Goal: **I’m working on a engineering question and need the explanation and answer to help me learn.

**Description**

Use the Standard Deviation Control Chart X-Bar S. Review the details for this chart in the textbook. Subgroup = 20. Each shipment has 500 observations. 1. Click on the question and click Begin to download the assigned dataset of two shipments, each identified with a Tracking Number. 2. Analyze the two assigned shipments. 3. For each shipment: a.Run descriptive statistics and set-up and run control charts (X-Bar and S). b. Calculate the percentage of total time the temperature is outside the specification limits. Specification limits are 32-41 degrees Fahrenheit. c. Using z-scores, predict the percentage of readings that will be out of specification in the future and compare to b. d. Determine the process capability (Cp and Cpk).

Questions Filter (1)

**Case Analysis Content**

Use the (attached). Review the description and details for this chart in the textbook. The suggested subgroup size is 20. Each shipment has 500 measured observations. Thus, each control chart will have 25 subgroups.

1. Click on the question and click Begin to download the assigned dataset of two shipments, each identified with a Tracking Number.

2. Analyze the two assigned shipments.

3. For *each shipment*:

- Run descriptive statistics and set-up and run control charts (X-Bar and S)
*.* - Calculate the percentage of total time the temperature is outside the specification limits.
**Specification limits are 32-41 degrees Fahrenheit**. - Using z-scores, predict the percentage of readings that will be out of specification in the future and compare to b.
- Determine the process capability (Cp and Cpk).
- Write up a case analysis using the template provided below. Your charts and graphs should be pasted into the document.

4. (attached) to write your analysis and include the following:

- Title page
- Introduction and description of the case
- Descriptive statistics with analysis and interpretation for each shipment
- Control charts for variables with analysis and interpretation for each shipment
- Summary for each shipment
- Conclusions and recommendations for the case

### Question 1

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Customer 19: Analyze the following cheese temperature data for customer: (attached)

Use the (attached). Review the description and details for this chart in the textbook. The suggested subgroup size is 20. Each shipment has 500 measured observations. Thus, each control chart will have 25 subgroups.

1. Click on the link above to see your assigned Customer and download the assigned dataset. Each customer has two shipments identified with a Tracking Number.

2. Analyze the two assigned shipments.

3. For *each shipment*:

- Run descriptive statistics and set-up and run control charts (X-Bar and S).
- Calculate the percentage of total time the temperature is outside the specification limits.
**Specification limits are 32-41 degrees Fahrenheit**. - Using z-scores, predict the percentage of readings that will be out of specification in the future and compare.
- Determine the process capability (Cp and Cpk).
- Write up a case analysis using the template provided below. Your charts and graphs should be pasted into the document.

4. (attached) to write your analysis and include the following:

- Title page
- Introduction and description of the case
- Descriptive statistics with analysis and interpretation for each shipment
- Control charts for variables with analysis and interpretation for each shipment
- Summary for each shipment
- Conclusions and recommendations for the case