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Download and review the following files: 1.Project Excel file for completing this project: LG415_Course_Project.xlsxPreview the documentView in a new window 2.Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project




Introduction This project provides a project scenario to complete via an Excel spreadsheet. Includes two data sets and questions to answer for both data sets. This project requires you to use of several analytical tools to arrange, display and analyze data. Directions 1.Download and review the following files: 1.Project Excel file for completing this project: LG415_Course_Project.xlsxPreview the documentView in a new window 2.Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project_Additional_Info.docxPreview the documentView in a new window 2.Review the following for more information about creating X-bar and R and S Control Charts in Excel: 1.https://www.youtube.com/watch?v=nEE4SvRd76g (Links to an external site.) 2.http://www.itl.nist.gov/div898/handbook/pmc/section3/pmc321.htm (Links to an external site.) 3.Read the following scenario to begin and complete the steps below. Scenario You are the Quality Manager for Widgets, Inc. You have just won a contract to produce a specialized widget that the customer requires a very tight specification limit. This widget is to be 5.50” in length, plus or minus .50”. This gives the total specification limit of 5.00” to 6.00”. You have set up the production line to produce a test run of the widgets (Data Set 1). The sample size consists of a total of 20 samples per run, with a total of four (4) runs. A total of 80 samples will be used to determine if the process is capable of producing the widgets within specification. Due to the specifications of the customer, and the setup of the manufacturing processes, the systematic random sampling technique was used to ensure that samples from each run were collected at the same point in time on different days. This provides the basis for the X-bar chart to group the sample from each run into logical subgroups. Perform the following for: 1.Data Set 1 2.Date Set 2 X-Bar Charts Requirements 1.Calculate the subgroup mean for each numbered sample 2.Calculate the grand mean and standard deviation of the subgroup samples 3.Calculate the UCL and LCL of the grouped samples 4.Create the X-bar chart 5.Provide detailed analysis of the X-bar chart IM Chart Requirements To ensure that the process in actually producing individual widgets within specification limits, you have decided to use an Individual Measurement chart that will plot each of the 80 samples against a calculated UCL and LCL, as well as plotting the data against the customer specification limits. 1.Stack the sample data (place the run data into a single column. Run 1 first, Run 2 second, etc) 2.Using the Data Analysis Toolpak, create the Descriptive Statistics for the stacked data 3.Using the Descriptive Statistics output, calculate the UCL and LCL 4.Create the IM chart using the calculated UCL and LCL 5.Recopy the stacked data, and enter the customer specification limits 6.Create the IM chart of the sample data against the customer specifications 7.Provide a detailed analysis of both IM charts Answer Questions for Data Sets Answer the questions on the “Questions DS 1 or DS 2” tab on the spreadsheet, and follow the instructions. Due Submit project by Sunday 11:59 CT. remove empty attachment Rubric Project Rubric Project Rubric Criteria Ratings Pts This criterion is linked to a Learning Outcome Questions Complete - All questions are answered fully and completely. 30.0 pts Substantial - Most questions are answered fully and completely. 26.0 pts Developing - Some questions are answered fully and completely. 23.0 pts Insubstantial - Most questions are not answered fully and completely. 15.0 pts Not Complete - The student did not complete assignment. 0.0 pts 30.0 pts Additional Comments This criterion is linked to a Learning Outcome Calculations Complete - All calculations (where required) are complete and accurate. 75.0 pts Substantial - Most calculations (where required) are complete and accurate. 64.0 pts Developing - Some calculations (where required) are complete and accurate. 56.0 pts Insubstantial - Most calculations (where required) are not complete and accurate. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Analysis Complete - Completely demonstrates the ability to accurately analyze data and its results. 75.0 pts Substantial - Mostly demonstrates the ability to accurately analyze data and its results 64.0 pts Developing - Somewhat demonstrates the ability to accurately analyze data and its results 56.0 pts Insubstantial - Mostly does not demonstrates the ability to accurately analyze data and its results. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Format Complete - Fully meets format specified by the instruction. 20.0 pts Substantial - Mostly meets format specified by the instruction. 16.0 pts Developing - Somewhat meets format specified by the instruction. 14.0 pts Insubstantial - Mostly does not meets format specified by the instruction. 14.0 pts Not Complete - The student did not complete assignment. 0.0 pts 20.0 pts Additional Comments This criterion is linked to a Learning Outcome Additional Comments Introduction This project provides a project scenario to complete via an Excel spreadsheet. Includes two data sets and questions to answer for both data sets. This project requires you to use of several analytical tools to arrange, display and analyze data. Directions 1.Download and review the following files: 1.Project Excel file for completing this project: LG415_Course_Project.xlsxPreview the documentView in a new window 2.Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project_Additional_Info.docxPreview the documentView in a new window 2.Review the following for more information about creating X-bar and R and S Control Charts in Excel: 1.https://www.youtube.com/watch?v=nEE4SvRd76g (Links to an external site.) 2.http://www.itl.nist.gov/div898/handbook/pmc/section3/pmc321.htm (Links to an external site.) 3.Read the following scenario to begin and complete the steps below. Scenario You are the Quality Manager for Widgets, Inc. You have just won a contract to produce a specialized widget that the customer requires a very tight specification limit. This widget is to be 5.50” in length, plus or minus .50”. This gives the total specification limit of 5.00” to 6.00”. You have set up the production line to produce a test run of the widgets (Data Set 1). The sample size consists of a total of 20 samples per run, with a total of four (4) runs. A total of 80 samples will be used to determine if the process is capable of producing the widgets within specification. Due to the specifications of the customer, and the setup of the manufacturing processes, the systematic random sampling technique was used to ensure that samples from each run were collected at the same point in time on different days. This provides the basis for the X-bar chart to group the sample from each run into logical subgroups. Perform the following for: 1.Data Set 1 2.Date Set 2 X-Bar Charts Requirements 1.Calculate the subgroup mean for each numbered sample 2.Calculate the grand mean and standard deviation of the subgroup samples 3.Calculate the UCL and LCL of the grouped samples 4.Create the X-bar chart 5.Provide detailed analysis of the X-bar chart IM Chart Requirements To ensure that the process in actually producing individual widgets within specification limits, you have decided to use an Individual Measurement chart that will plot each of the 80 samples against a calculated UCL and LCL, as well as plotting the data against the customer specification limits. 1.Stack the sample data (place the run data into a single column. Run 1 first, Run 2 second, etc) 2.Using the Data Analysis Toolpak, create the Descriptive Statistics for the stacked data 3.Using the Descriptive Statistics output, calculate the UCL and LCL 4.Create the IM chart using the calculated UCL and LCL 5.Recopy the stacked data, and enter the customer specification limits 6.Create the IM chart of the sample data against the customer specifications 7.Provide a detailed analysis of both IM charts Answer Questions for Data Sets Answer the questions on the “Questions DS 1 or DS 2” tab on the spreadsheet, and follow the instructions. Due Submit project by Sunday 11:59 CT. remove empty attachment Rubric Project Rubric Project Rubric Criteria Ratings Pts This criterion is linked to a Learning Outcome Questions Complete - All questions are answered fully and completely. 30.0 pts Substantial - Most questions are answered fully and completely. 26.0 pts Developing - Some questions are answered fully and completely. 23.0 pts Insubstantial - Most questions are not answered fully and completely. 15.0 pts Not Complete - The student did not complete assignment. 0.0 pts 30.0 pts Additional Comments This criterion is linked to a Learning Outcome Calculations Complete - All calculations (where required) are complete and accurate. 75.0 pts Substantial - Most calculations (where required) are complete and accurate. 64.0 pts Developing - Some calculations (where required) are complete and accurate. 56.0 pts Insubstantial - Most calculations (where required) are not complete and accurate. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Analysis Complete - Completely demonstrates the ability to accurately analyze data and its results. 75.0 pts Substantial - Mostly demonstrates the ability to accurately analyze data and its results 64.0 pts Developing - Somewhat demonstrates the ability to accurately analyze data and its results 56.0 pts Insubstantial - Mostly does not demonstrates the ability to accurately analyze data and its results. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Format Complete - Fully meets format specified by the instruction. 20.0 pts Substantial - Mostly meets format specified by the instruction. 16.0 pts Developing - Somewhat meets format specified by the instruction. 14.0 pts Insubstantial - Mostly does not meets format specified by the instruction. 14.0 pts Not Complete - The student did not complete assignment. 0.0 pts 20.0 pts Additional Comments This criterion is linked to a Learning Outcome Additional Comments Introduction This project provides a project scenario to complete via an Excel spreadsheet. Includes two data sets and questions to answer for both data sets. This project requires you to use of several analytical tools to arrange, display and analyze data. Directions 1.Download and review the following files: 1.Project Excel file for completing this project: LG415_Course_Project.xlsxPreview the documentView in a new window 2.Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project_Additional_Info.docxPreview the documentView in a new window 2.Review the following for more information about creating X-bar and R and S Control Charts in Excel: 1.https://www.youtube.com/watch?v=nEE4SvRd76g (Links to an external site.) 2.http://www.itl.nist.gov/div898/handbook/pmc/section3/pmc321.htm (Links to an external site.) 3.Read the following scenario to begin and complete the steps below. Scenario You are the Quality Manager for Widgets, Inc. You have just won a contract to produce a specialized widget that the customer requires a very tight specification limit. This widget is to be 5.50” in length, plus or minus .50”. This gives the total specification limit of 5.00” to 6.00”. You have set up the production line to produce a test run of the widgets (Data Set 1). The sample size consists of a total of 20 samples per run, with a total of four (4) runs. A total of 80 samples will be used to determine if the process is capable of producing the widgets within specification. Due to the specifications of the customer, and the setup of the manufacturing processes, the systematic random sampling technique was used to ensure that samples from each run were collected at the same point in time on different days. This provides the basis for the X-bar chart to group the sample from each run into logical subgroups. Perform the following for: 1.Data Set 1 2.Date Set 2 X-Bar Charts Requirements 1.Calculate the subgroup mean for each numbered sample 2.Calculate the grand mean and standard deviation of the subgroup samples 3.Calculate the UCL and LCL of the grouped samples 4.Create the X-bar chart 5.Provide detailed analysis of the X-bar chart IM Chart Requirements To ensure that the process in actually producing individual widgets within specification limits, you have decided to use an Individual Measurement chart that will plot each of the 80 samples against a calculated UCL and LCL, as well as plotting the data against the customer specification limits. 1.Stack the sample data (place the run data into a single column. Run 1 first, Run 2 second, etc) 2.Using the Data Analysis Toolpak, create the Descriptive Statistics for the stacked data 3.Using the Descriptive Statistics output, calculate the UCL and LCL 4.Create the IM chart using the calculated UCL and LCL 5.Recopy the stacked data, and enter the customer specification limits 6.Create the IM chart of the sample data against the customer specifications 7.Provide a detailed analysis of both IM charts Answer Questions for Data Sets Answer the questions on the “Questions DS 1 or DS 2” tab on the spreadsheet, and follow the instructions. Due Submit project by Sunday 11:59 CT. remove empty attachment Rubric Project Rubric Project Rubric Criteria Ratings Pts This criterion is linked to a Learning Outcome Questions Complete - All questions are answered fully and completely. 30.0 pts Substantial - Most questions are answered fully and completely. 26.0 pts Developing - Some questions are answered fully and completely. 23.0 pts Insubstantial - Most questions are not answered fully and completely. 15.0 pts Not Complete - The student did not complete assignment. 0.0 pts 30.0 pts Additional Comments This criterion is linked to a Learning Outcome Calculations Complete - All calculations (where required) are complete and accurate. 75.0 pts Substantial - Most calculations (where required) are complete and accurate. 64.0 pts Developing - Some calculations (where required) are complete and accurate. 56.0 pts Insubstantial - Most calculations (where required) are not complete and accurate. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Analysis Complete - Completely demonstrates the ability to accurately analyze data and its results. 75.0 pts Substantial - Mostly demonstrates the ability to accurately analyze data and its results 64.0 pts Developing - Somewhat demonstrates the ability to accurately analyze data and its results 56.0 pts Insubstantial - Mostly does not demonstrates the ability to accurately analyze data and its results. 37.0 pts Not Complete - The student did not complete assignment. 0.0 pts 75.0 pts Additional Comments This criterion is linked to a Learning Outcome Format Complete - Fully meets format specified by the instruction. 20.0 pts Substantial - Mostly meets format specified by the instruction. 16.0 pts Developing - Somewhat meets format specified by the instruction. 14.0 pts Insubstantial - Mostly does not meets format specified by the instruction. 14.0 pts Not Complete - The student did not complete assignment. 0.0 pts 20.0 pts Additional Comments This criterion is linked to a Learning Outcome Additional Comments Directions 1.Download and review the following files: 1.Project Excel file for completing this project: LG415_Course_Project.xlsxPreview the documentView in a new window 2.Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project_Additional_Info.docxPreview the documentView in a new window 2.Review the following for more information about creating X-bar and R and S Control Charts in Excel: 1.https://www.youtube.com/watch?v=nEE4SvRd76g (Links to an external site.) 2.http://www.itl.nist.gov/div898/handbook/pmc/section3/pmc321.htm (Links to an external site.) 3.Read the following scenario to begin and complete the steps below. Scenario You are the Quality Manager for Widgets, Inc. You have just won a contract to produce a specialized widget that the customer requires a very tight specification limit. This widget is to be 5.50” in length, plus or minus .50”. This gives the total specification limit of 5.00” to 6.00”. You have set up the production line to produce a test run of the widgets (Data Set 1). The sample size consists of a total of 20 samples per run, with a total of four (4) runs. A total of 80 samples will be used to determine if the process is capable of producing the widgets within specification. Due to the specifications of the customer, and the setup of the manufacturing processes, the systematic random sampling technique was used to ensure that samples from each run were collected at the same point in time on different days. This provides the basis for the X-bar chart to group the sample from each run into logical subgroups. Perform the following for: 1.Data Set 1 2.Date Set 2 X-Bar Charts Requirements 1.Calculate the subgroup mean for each numbered sample 2.Calculate the grand mean and standard deviation of the subgroup samples 3.Calculate the UCL and LCL of the grouped samples 4.Create the X-bar chart 5.Provide detailed analysis of the X-bar chart IM Chart Requirements To ensure that the process in actually producing individual widgets within specification limits, you have decided to use an Individual Measurement chart that will plot each of the 80 samples against a calculated UCL and LCL, as well as plotting the data against the customer specification limits. 1.Stack the sample data (place the run data into a single column. Run 1 first, Run 2 second, etc) 2.Using the Data Analysis Toolpak, create the Descriptive Statistics for the stacked data 3.Using the Descriptive Statistics output, calculate the UCL and LCL 4.Create the IM chart using the calculated UCL and LCL 5.Recopy the stacked data, and enter the customer specification limits 6.Create the IM chart of the sample data against the customer specifications 7.Provide a detailed analysis of both IM charts Answer Questions for Data Sets Answer the questions on the “Questions DS 1 or DS 2” tab on the spreadsheet, and follow the instructions.

 


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