[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-565367-105":53,"doc-detail-565367-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","run-chart-rules-interpretation-guide","Run Chart Rules - Interpretation Guide","","Run Chart Rules for Interpretation explains four practical rules for deciding whether variation on a run chart reflects random process fluctuation or a nonrandom, attributable change. It defines a shift as six or more consecutive points on one side of the median, a trend as five or more consecutive points moving consistently upward or downward, and runs as patterns revealed by crossing the median too few or too many times. It also introduces the astronomical point rule to flag unusually large or small values that clearly stand out from the rest.",{"@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/run-chart-rules-interpretation-guide/565367/",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/run-chart-rules-interpretation-guide/565367.png","ImageObject",442,249,{"name":88,"@type":89},"Patrick","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-20","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":47},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What does a “shift” mean on a run chart?","Question",{"text":108,"@type":109},"A shift is six or more consecutive points all above or all below the median. Values on the median do not count toward or break the shift, and they are skipped while continuing the count.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How is a “trend” identified on a run chart?",{"text":113,"@type":109},"A trend is five or more consecutive points all going up or all going down. If two successive points are the same, ignore one of the points when counting, and like values do not create or break the trend.",{"name":115,"@type":106,"acceptedAnswer":116},"What indicates a non-random change under the “runs” rule?",{"text":117,"@type":109},"Count how many times the data line crosses the median and add one to get the number of runs above and below. Too few or too many runs (crossing patterns) signal statistically significant change.","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},565367,1792382310,{"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":47,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":73,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},549758146520,"https://ap-avatar.wpscdn.com/avatar/80002397d8c0411e94?_k=1775819394049821470","Run Chart Rules for Interpretation  \nThis guide is paraphrased from Lloyd & Provost (2011): The Health Care Data Guide – Learning from Data for Improvement, Chapter 3 and from  \n[http://www.knowledge.scot.nhs.uk/media/CLT/ResourceUploads/1006891/Good_Practice_Guide_Data_Man](http://www.knowledge.scot.nhs.uk/media/CLT/ResourceUploads/1006891/Good_Practice_Guide_Data_Man)[agement_run_chart_rules.pdf](agement_run_chart_rules.pdf)  \nThere are four rules that can be applied to a run chart to help determine whether or not the variation within the dataset is due to the random variation typical of performance of that process, or due to nonrandom attributable change in the process:  \nRule One – A Shift  \nA shift on a run chart is six or more consecutive points either all above or all below the median. Values that fall on the median do not add to nor break a shift. Skip values that fall on the median and continue counting. This rule is based on statistical probability. For example, for an event with two possible outcomes, where each outcome is likely to happen 50% of the time, the probability of the same outcome occurring six times in a row is less than 3 in 1000. Therefore the change is likely to be attributable to something, and not the result of random variation within a process.  \nRule Two-Trend  \nA trend on a run chart is five or more consecutive points all going up or all going down. If the value of two or more successive points is the same, ignore one of the points when counting. Like values do not make or break a trend.  \nRule Three-Runs  \nA run isa series of points in a row on one side of the median. A non-random pattern or signal of change is indicated by too few or too many runsor crossingsofthe median line. To determine the number of runs above and below the median, count the number of times the data line crosses the median and add one. Statistically significant change is signalled by too few or too many runs, again calculated using statistical probability.  \nThis table is used in conjunction with this rule to identify the lower and upper limit for the number of runs depending on the number of data points you have:  \nRule Four – Astronomical Point  \nThis rule aids in detecting unusually large or small numbers. They are characterised by data points that are obviously, or even blatantly different from all or most of the other values, and anyone studying the chart would agree that is unusual. Note that every data set will have a highest and lowest data point, however this does not mean the high and low are astronomical.","cbCaieoboBylFyqo","https://ap.wps.com/l/cbCaieoboBylFyqo","pdf",198719,"English","# Run Chart Rules for Interpretation\n## Rule One – A Shift\n## Rule Two – Trend\n## Rule Three – Runs\n## Rule Four – Astronomical Point","[{\"question\":\"What does a “shift” mean on a run chart?\",\"answer\":\"A shift is six or more consecutive points all above or all below the median. Values on the median do not count toward or break the shift, and they are skipped while continuing the count.\"},{\"question\":\"How is a “trend” identified on a run chart?\",\"answer\":\"A trend is five or more consecutive points all going up or all going down. If two successive points are the same, ignore one of the points when counting, and like values do not create or break the trend.\"},{\"question\":\"What indicates a non-random change under the “runs” rule?\",\"answer\":\"Count how many times the data line crosses the median and add one to get the number of runs above and below. Too few or too many runs (crossing patterns) signal statistically significant change.\"}]","Run Chart Rules - Interpretation Guide | PDF",1791852564]