[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-197959-105":53,"doc-detail-197959-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","control-charts-for-performance-2020-guide","Control Charts for Performance 2020 - Guide","","Control Charts for Performance 2020 defines key terminology for process monitoring, contrasting in-control (predictable) and out-of-control (unpredictable) behavior. The content explains how to compute ranges between consecutive observations, calculate an average range, derive upper and lower control limits, and plot both range and data charts. It also provides interpretation guidance, showing how to judge stability, detect concern when points exceed limits, and distinguish the “Voice of the Process” from the “Voice of the Customer”.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/control-charts-for-performance-2020-guide/197959/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/control-charts-for-performance-2020-guide/197959.png","ImageObject",442,249,{"name":88,"@type":89},"Maeve","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-11","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":79},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the difference between an in-control process and an out-of-control process?","Question",{"text":108,"@type":109},"An in-control process is predictable, while an out-of-control process is unpredictable. Control charts help reveal which condition the process is in.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How do you calculate the range for a range chart?",{"text":113,"@type":109},"Compute the absolute value of the difference between the current point and the previous point. Each period’s range is then used to form the range chart.",{"name":115,"@type":106,"acceptedAnswer":116},"How should you interpret the range chart and the data chart?",{"text":117,"@type":109},"If no points exceed the control limit on the range chart, there are no concerns for variability stability. For the data chart, if observed times remain within the control limits, the process is stable and predictable and can support forward predictions.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},197959,1788472488,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":135,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":125,"read_time":76},5909877438554,"https://ap-avatar.wpscdn.com/avatar/5600025385ad2bf12a7?_k=1778553567797529272","| \u003Cbr>Traditional Terms | \u003Cbr>Better\u003Cbr>Terminology |\n| --- | --- |\n| \u003Cbr>Control Chart | \u003Cbr>Process\u003Cbr>behavior chart |\n| In‐control process | Predictable\u003Cbr>process |\n\n\n| Out‐of‐ control process | Unpredictable process |\n| --- | --- |\n| Control limits | Natural process limit |\n| Statistical process control | Continual improvement |\n\n| Books\u003Cbr>􀁸  Understanding Variation by Donald Wheeler\u003Cbr>􀁸  Making Sense of Data by Donald Wheeler\u003Cbr>􀁸  Data Sanity by Davis Balestracci | Software\u003Cbr>􀁸  [www.qimacros.com](www.qimacros.com) for Excel control chart add‐in and training materials on Lean Six Sigma\u003Cbr>􀁸  [http://www. mercerqualityconsulting.com/statistical](http://www. mercerqualityconsulting.com/statistical)‐ thinking.html for a less expensive add‐in but it just does control charts.\u003Cbr>􀁸 Google other software by using search terms like“SPC software” or “Excel add‐ins for control charts”.\u003Cbr>􀁸 See Excel template and I created and shared which has limited features but can be used as a start. |\n| --- | --- |\n| Websites\u003Cbr>􀁸 [www.spcpress.com/djw_articles.php](www.spcpress.com/djw_articles.php)\u003Cbr>􀁸 [www.davisdatasanity.com/newsletter](www.davisdatasanity.com/newsletter)‐ archives/ |  |\n\n\n| Order | Dominant\u003Cbr>Hand | Non‐\u003Cbr>dominant | Combo |\n| --- | --- | --- | --- |\n| 1 |  |  |  |\n| 2 |  |  |  |\n| 3 |  |  |  |\n| 4 |  |  |  |\n| 5 |  |  |  |\n| 6 |  |  |  |\n| 7 |  |  |  |\n| 8 |  |  |  |\n| 9 |  |  |  |\n| 10 |  |  |  |\n\n| Imagine tracking how long we wait in line for service.\u003Cbr>Waiting\u003Cbr>1. Calculate the range which is the absolute value of the difference between the current point and the previous point.\u003Cbr>Trip in Line Range\u003Cbr>1 3.5\u003Cbr>2 2.4 1.1\u003Cbr>3 4.1 1.7\u003Cbr>4 2.8 1.3\u003Cbr>5 3 0.2\u003Cbr>6 4.7 1.7\u003Cbr>7 1.2 3.5\u003Cbr>8 0.9 0.3\u003Cbr>9 2.5 1.6\u003Cbr>10 3.1 0.6\u003Cbr>11 3.6 0.5\u003Cbr>12 4.1 0.5\u003Cbr>13 3.8 0.3\u003Cbr>14 2.5 1.3\u003Cbr>15 2.8 0.3\u003Cbr>16 4.3 1.5\u003Cbr>17 4.1 0.2\u003Cbr>18 3.6 0.5\u003Cbr>19 2.4 1.2\u003Cbr>20 4.8 2.4\u003Cbr>21 3.5 1.3\u003Cbr>22 2.5 1\u003Cbr>23 1.3 1.2\u003Cbr>24 4.5 3.2\u003Cbr>Average 3.17 1.19\u003Cbr>2. Find the average of the\u003Cbr>ranges.\u003Cbr>3. Create an upper limit for the ranges by multiplying the average by 3.268 and add to the average.\u003Cbr>4. Plot the range chart.\u003Cbr>5. Find the average for the actual data.\u003Cbr>6. Plot upper and lower control limits for the actual data with the formula Average ±2.66\u003Cbr>*Average Range\u003Cbr>7. Plot the data chart.\u003Cbr>18\u003Cbr>\u003Cbr>\u003Cbr>|\n| --- |\n| \u003Cbr>How to interpret the range chart.\u003Cbr>1. The range chart tells us the average difference from period to period is\u003Cbr>1.19 minutes and the maximum change in waiting time we should see assuming a predictable process is 3.89 minutes.\u003Cbr>2. No points on the range chart are past the 3.89 control limit so there are no points of concern on that chart. |\n| |\n| 27 |\n\n\n| How to interpret the data chart. |  |  |\n| --- | --- | --- |\n| |  | 3. On the waiting time data chart, we see that the times, while varying, all lie within the control limits. We would conclude this is a stable and predictable process.\u003Cbr>4. The average waiting time is 3.17 minutes and the maximum that would be expected is 6.34 minutes and we might see instances of zero waiting time.\u003Cbr>5. Unless changes take place, we can use this for making predictions going forward and checking when we have problems. |\n| \u003Cbr>28 |  |  |\n|  |  |  |\n| A few things to note about the chart. |  |  |\n| | 1. The numbers in the graph represent what actually happened, called the “Voice of the Process”.\u003Cbr>2. We may want something better (lower average times or a lower maximum time) but that is a separate question (“Voice of the Customer”) . Don’t confuse the two.\u003Cbr>3. If we want to make changes we do it by focusing on the process overall and not on fixing specific points. Don’t confuse common variation with special variation. |  |\n| \u003Cbr>29 |  |  |\n|  |  |  |","cbCaie3hKiLOmKEq","https://ap.wps.com/l/cbCaie3hKiLOmKEq","pdf",863929,9,7,"English","# Traditional terminology vs better terminology\n## Control chart concepts\n# How to build a range chart\n## Calculate ranges\n## Compute averages and control limits\n## Plot and apply limits\n# How to interpret the range chart\n## Stability and predictable behavior\n# How to interpret the data chart\n## Conclusions and predictions\n# Notes on chart meaning","[{\"question\":\"What is the difference between an in-control process and an out-of-control process?\",\"answer\":\"An in-control process is predictable, while an out-of-control process is unpredictable. Control charts help reveal which condition the process is in.\"},{\"question\":\"How do you calculate the range for a range chart?\",\"answer\":\"Compute the absolute value of the difference between the current point and the previous point. Each period’s range is then used to form the range chart.\"},{\"question\":\"How should you interpret the range chart and the data chart?\",\"answer\":\"If no points exceed the control limit on the range chart, there are no concerns for variability stability. For the data chart, if observed times remain within the control limits, the process is stable and predictable and can support forward predictions.\"}]","Control Charts for Performance 2020 - Guide | PDF"]