This spreadsheet is provided "as is" without warranties of any kind, either expressed or implied.

When to use this spreadsheet

1) This spreadsheet performs a complete process capability analysis. The data is displayed using a Histogram and SPC charts. The SPC charts are evaluated for 8 stability criteria. A capability analysis is performed providing a summary of the process data, values for Cpk, Ppk, and SPC limits for Individual Moving Range charts or X Bar R charts, X Median Charts, and Pre-Control charts.

2) This spreadsheet is intended to be used by individuals new to the quality sciences that are unsure how to perform a complete capability study. A more thorough analysis can be performed manually or using a software package such as Minitab.

Instructions for Data Entry

1) Organize your data in a single column. If the data is sub-grouped, order the data by sub-group and sample. For example, if you have three subgroups of sample size equal to 5 you should order your data 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5.

2) Enter or paste your data into the column titled Data. A maximum of 1800 data points can be entered. Only white cells will accept data.

3) Enter the sub-group size and the upper and lower spec limits. Spec limits are necessary to perform capability calculations but are not required. Note: If the data set is not evenly devisable by the sub-group size, the remaining (incomplete) sub-group is not displayed.

4) Check the "Unilateral" check box if your data is one-sided (such as Flatness, Roundness, etc) and the Cpk/Ppk values will update accordingly.

Reading the Results

1) The Sub-group column will automatically reflect the sub-group number associated with the data value.

2) The Point # and Data columns reflect the calculated average and range (or individual and moving range) displayed on the charts.

3) The SPC charts will automatically display the correct chart depending on the subgroup size. The major header will identify Individuals charts versus X Bar Charts.

4) When a sub-group size of one is used, the spec limits will be shown on the Individuals chart and the spec range shown on the Range Chart. X-Bar Charts will not do this.

5) The charts will automatically size themselves to fully display data sets less than 100 pieces.

6) The SPC rules will display Pass or Fail and should be used to determine if your data is stable and in control.

7) The histogram will always draw a bell curve regardless of whether or not the data is normally distributed.

8) A summary of the Process Data is displayed, most of which are self explanatory. The Upper and Lower Control Limits are calculated using the mean of the data and should not be confused with the SPC limits discussed below. The normality analysis is performed using guidelines outlined by James Dean Brown, University of Hawaii at Manoa as found in the Shiken: JALT Testing & Evaluation SIG Newsletter (http://www.jalt.org/test/bro_1.htm). A statement will appear based on these guidelines as to whether the data is normal. Skewness and Kurtosis are not displayed.

9) The Xbar and R (or Individual and Moving Range) limits are provided for implementing SPC on the floor. The limits are automatically centered around the nominal spec value.

10) The X Median limits are also provided for implementing SPC on the floor. X Median limits will not display when the sub-group size is equal to one. The limits are automatically centered around the nominal spec value.

End

This spreadsheet is provided "as is" without warranties of any kind, either expressed or implied.

When to use this spreadsheet

1) This spreadsheet performs a complete process capability analysis. The data is displayed using a Histogram and SPC charts. The SPC charts are evaluated for 8 stability criteria. A capability analysis is performed providing a summary of the process data, values for Cpk, Ppk, and SPC limits for Individual Moving Range charts or X Bar R charts, X Median Charts, and Pre-Control charts.

2) This spreadsheet is intended to be used by individuals new to the quality sciences that are unsure how to perform a complete capability study. A more thorough analysis can be performed manually or using a software package such as Minitab.

Instructions for Data Entry

1) Organize your data in a single column. If the data is sub-grouped, order the data by sub-group and sample. For example, if you have three subgroups of sample size equal to 5 you should order your data 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5.

2) Enter or paste your data into the column titled Data. A maximum of 1800 data points can be entered. Only white cells will accept data.

3) Enter the sub-group size and the upper and lower spec limits. Spec limits are necessary to perform capability calculations but are not required. Note: If the data set is not evenly devisable by the sub-group size, the remaining (incomplete) sub-group is not displayed.

4) Check the "Unilateral" check box if your data is one-sided (such as Flatness, Roundness, etc) and the Cpk/Ppk values will update accordingly.

Reading the Results

1) The Sub-group column will automatically reflect the sub-group number associated with the data value.

2) The Point # and Data columns reflect the calculated average and range (or individual and moving range) displayed on the charts.

3) The SPC charts will automatically display the correct chart depending on the subgroup size. The major header will identify Individuals charts versus X Bar Charts.

4) When a sub-group size of one is used, the spec limits will be shown on the Individuals chart and the spec range shown on the Range Chart. X-Bar Charts will not do this.

5) The charts will automatically size themselves to fully display data sets less than 100 pieces.

6) The SPC rules will display Pass or Fail and should be used to determine if your data is stable and in control.

7) The histogram will always draw a bell curve regardless of whether or not the data is normally distributed.

8) A summary of the Process Data is displayed, most of which are self explanatory. The Upper and Lower Control Limits are calculated using the mean of the data and should not be confused with the SPC limits discussed below. The normality analysis is performed using guidelines outlined by James Dean Brown, University of Hawaii at Manoa as found in the Shiken: JALT Testing & Evaluation SIG Newsletter (http://www.jalt.org/test/bro_1.htm). A statement will appear based on these guidelines as to whether the data is normal. Skewness and Kurtosis are not displayed.

9) The Xbar and R (or Individual and Moving Range) limits are provided for implementing SPC on the floor. The limits are automatically centered around the nominal spec value.

10) The X Median limits are also provided for implementing SPC on the floor. X Median limits will not display when the sub-group size is equal to one. The limits are automatically centered around the nominal spec value.

End

This spreadsheet is provided "as is" without warranties of any kind, either expressed or implied.

When to use this spreadsheet

1) This spreadsheet performs a complete process capability analysis. The data is displayed using a Histogram and SPC charts. The SPC charts are evaluated for 8 stability criteria. A capability analysis is performed providing a summary of the process data, values for Cpk, Ppk, and SPC limits for Individual Moving Range charts or X Bar R charts, X Median Charts, and Pre-Control charts.

2) This spreadsheet is intended to be used by individuals new to the quality sciences that are unsure how to perform a complete capability study. A more thorough analysis can be performed manually or using a software package such as Minitab.

Instructions for Data Entry

1) Organize your data in a single column. If the data is sub-grouped, order the data by sub-group and sample. For example, if you have three subgroups of sample size equal to 5 you should order your data 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5.

2) Enter or paste your data into the column titled Data. A maximum of 1800 data points can be entered. Only white cells will accept data.

3) Enter the sub-group size and the upper and lower spec limits. Spec limits are necessary to perform capability calculations but are not required. Note: If the data set is not evenly devisable by the sub-group size, the remaining (incomplete) sub-group is not displayed.

4) Check the "Unilateral" check box if your data is one-sided (such as Flatness, Roundness, etc) and the Cpk/Ppk values will update accordingly.

Reading the Results

1) The Sub-group column will automatically reflect the sub-group number associated with the data value.

2) The Point # and Data columns reflect the calculated average and range (or individual and moving range) displayed on the charts.

3) The SPC charts will automatically display the correct chart depending on the subgroup size. The major header will identify Individuals charts versus X Bar Charts.

4) When a sub-group size of one is used, the spec limits will be shown on the Individuals chart and the spec range shown on the Range Chart. X-Bar Charts will not do this.

5) The charts will automatically size themselves to fully display data sets less than 100 pieces.

6) The SPC rules will display Pass or Fail and should be used to determine if your data is stable and in control.

7) The histogram will always draw a bell curve regardless of whether or not the data is normally distributed.

8) A summary of the Process Data is displayed, most of which are self explanatory. The Upper and Lower Control Limits are calculated using the mean of the data and should not be confused with the SPC limits discussed below. The normality analysis is performed using guidelines outlined by James Dean Brown, University of Hawaii at Manoa as found in the Shiken: JALT Testing & Evaluation SIG Newsletter (http://www.jalt.org/test/bro_1.htm). A statement will appear based on these guidelines as to whether the data is normal. Skewness and Kurtosis are not displayed.

9) The Xbar and R (or Individual and Moving Range) limits are provided for implementing SPC on the floor. The limits are automatically centered around the nominal spec value.

10) The X Median limits are also provided for implementing SPC on the floor. X Median limits will not display when the sub-group size is equal to one. The limits are automatically centered around the nominal spec value.

End

This spreadsheet is provided "as is" without warranties of any kind, either expressed or implied.

When to use this spreadsheet

1) This spreadsheet performs a complete process capability analysis. The data is displayed using a Histogram and SPC charts. The SPC charts are evaluated for 8 stability criteria. A capability analysis is performed providing a summary of the process data, values for Cpk, Ppk, and SPC limits for Individual Moving Range charts or X Bar R charts, X Median Charts, and Pre-Control charts.

2) This spreadsheet is intended to be used by individuals new to the quality sciences that are unsure how to perform a complete capability study. A more thorough analysis can be performed manually or using a software package such as Minitab.

Instructions for Data Entry

1) Organize your data in a single column. If the data is sub-grouped, order the data by sub-group and sample. For example, if you have three subgroups of sample size equal to 5 you should order your data 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5.

2) Enter or paste your data into the column titled Data. A maximum of 1800 data points can be entered. Only white cells will accept data.

3) Enter the sub-group size and the upper and lower spec limits. Spec limits are necessary to perform capability calculations but are not required. Note: If the data set is not evenly devisable by the sub-group size, the remaining (incomplete) sub-group is not displayed.

4) Check the "Unilateral" check box if your data is one-sided (such as Flatness, Roundness, etc) and the Cpk/Ppk values will update accordingly.

Reading the Results

1) The Sub-group column will automatically reflect the sub-group number associated with the data value.

2) The Point # and Data columns reflect the calculated average and range (or individual and moving range) displayed on the charts.

3) The SPC charts will automatically display the correct chart depending on the subgroup size. The major header will identify Individuals charts versus X Bar Charts.

4) When a sub-group size of one is used, the spec limits will be shown on the Individuals chart and the spec range shown on the Range Chart. X-Bar Charts will not do this.

5) The charts will automatically size themselves to fully display data sets less than 100 pieces.

6) The SPC rules will display Pass or Fail and should be used to determine if your data is stable and in control.

7) The histogram will always draw a bell curve regardless of whether or not the data is normally distributed.

8) A summary of the Process Data is displayed, most of which are self explanatory. The Upper and Lower Control Limits are calculated using the mean of the data and should not be confused with the SPC limits discussed below. The normality analysis is performed using guidelines outlined by James Dean Brown, University of Hawaii at Manoa as found in the Shiken: JALT Testing & Evaluation SIG Newsletter (http://www.jalt.org/test/bro_1.htm). A statement will appear based on these guidelines as to whether the data is normal. Skewness and Kurtosis are not displayed.

9) The Xbar and R (or Individual and Moving Range) limits are provided for implementing SPC on the floor. The limits are automatically centered around the nominal spec value.

10) The X Median limits are also provided for implementing SPC on the floor. X Median limits will not display when the sub-group size is equal to one. The limits are automatically centered around the nominal spec value.

End

Sample Process Capability Study

Control Charts Process Capability

Individuals Chart Histogram

Moving Range Chart

Process DataUSL 2 Cp 0.67LSL -1 CpU 0.67# of Samples 1500 CpL n/a# of Sub Groups 1500 Cpk 0.67Sub Group Size (n) 1Max Value 1.84481 Potential (Indiv.) CapabilityMin Value -2.769448 Pp 0.66Range 4.6142577 PpU 0.66X Double Bar 0.0976905 PpL n/aR Bar 1.07 Ppk 0.66

0.9461225St. Dev. (Indiv.) 0.9618828 I MR Chart Limits

One or more points are outside the control limits Fail UCL X 2.936512 UCL X 3.33882155More than 9 points in a row on one side of the avg Fail LCL X -2.741131 LCL X -2.33882155Six points in a row increasing or decreasing Fail UCL R 3.4898295 UCL R 3.489829514 points in a row alternating up and down Pass Normality Neg skewMore than 2/3rd of pts outside 2 sigma Pass X Median Chart LimitsMore than 1/3rd of pts outside 1 sigma Pass Pre-Control Limits UCL X Sub Grp 2 - 6 only15 pts in a row within 1 sigma of centerline Fail Upper PC line 1.25 LCL X Sub Grp 2 - 6 only8 pts in a row more than 1 sigma from centerline Fail Lower PC line -0.25 UCL R Sub Grp 2 - 6 only

Potential (Rbar/d2) Capability

St. Dev. (Rbar/d2)

-2.76

9447

7466

8664

-2.53

8734

8614

4585

-2.30

8021

9762

0505

-2.07

7309

0909

6426

-1.84

6596

2057

2347

-1.61

5883

3204

8268

-1.38

5170

4352

4189

-1.15

4457

5500

011

-0.92

3744

6647

6030

7

-0.69

3031

7795

1951

5

-0.46

2318

8942

7872

4

-0.23

1606

0090

3793

2

-0.00

0893

1237

9714

1016

0.229

8197

6144

365

0.460

5326

4668

4442

0.691

2455

3192

5233

0.921

9584

1716

6024

1.152

6713

0240

682

1.383

3841

8764

761

1.614

0970

7288

84

1.844

8099

5812

919

0

20

40

60

80

100

120

140

160

180

200

0

2

4

6

8

10

12

USL LSL LCL UCL DataAVG

0

2

4

6

8

10

12

Data UCL Tol AVG

If you have a suggestion to improve this spreadsheet or you have found a bug, my latest e-mail address is posted at:

If you found a bug, please e-mail the file with the data so that I can resolve the issue.

Thanks!

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