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The notes cover detecting process distribution changes, distinguishing location shifts from dispersion increases, and why location/dispersion charts are often used in pairs. They address sigma estimation using common-cause variation, bias correction for sigma estimators, and the rationale for three-sigma limits. Examples and steps introduce JMP’s Control Chart Builder workflow for interactive chart creation and investigation.",{"@graph":63,"@context":119},[64,80,102],{"@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":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/jmp-jump-into-control-charting-workshop-notes-version-181/563312/",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/jmp-jump-into-control-charting-workshop-notes-version-181/563312.png","ImageObject",442,249,{"name":88,"@type":89},"Margaret","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-11-02","2026-10-12",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",9,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is the primary purpose of a control chart?","Question",{"text":109,"@type":110},"A control chart detects when the distribution of a process has changed. A point outside the control limits signals a shift in the process.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How can a process distribution change in a control-chart context?",{"text":114,"@type":110},"A distribution can change by a shift in location or by an increase in dispersion. That is why control charts are often organized into location and dispersion chart pairs.",{"name":116,"@type":107,"acceptedAnswer":117},"Why does JMP emphasize estimating sigma using common-cause variation?",{"text":118,"@type":110},"Sigma must be estimated using only natural process variation, not any estimator that includes special-cause variation outside the normal process. Using biased estimates can inflate control limits and cause true changes to be missed.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},563312,1792024615,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"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":141,"read_time":20},137451207643,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","JMP® : Jump into Control Charting  \nWorkshop Notes  \nJMP®: Jump into Control Charting Workshop Notes was developed by Di Michelson. Additional contributions were made by Ledi Trutna, Scott Wise, and Monical Beals.  \nJMP Statistical Discovery, SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of JMP Statistical Discovery and SAS Institute [Inc. in](Inc. in) the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies.  \nJMP® : Jump into Control Charting Workshop Notes (version 18.1)  \nCopyright © 2025 JMP Statistical Discovery LLC , Cary, NC, USA. All rights reserved. Printed in the United States of America. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, JMP Statistical Discovery LLC.  \nJump into Control Charting  \n1.1 Control Chart Builder ................................................................................................................4  \nDemonstration: Control Chart Builder ..................................................................................... 10  \n1.2 X-MR Charts.............................................................................................................................. 16  \n1.3 Xbar-R and Xbar-S Charts .......................................................................................................20  \nDemonstration: Xbar-R and Xbar-S Charts ............................................................................ 23  \n1.4 Phases .......................................................................................................................................29  \nDemonstration: Using Phases in Control Chart Builder .......................................................... 31  \nPractice .................................................................................................................................... 37  \n1.5 Solutions ................................................................................................................................... 38  \nSolutions to Practices .............................................................................................................. 38  \n1.1 Control Chart Builder  \nA control chart is a time plot of data with special limits added to the chart. These limits are based on the historical variation of the data. The centerline is at the historical process mean, and the upper and lower control limits correspond to the edges of the historical distribution. The purpose of a control chart is to detect when the distribution of the process has changed. A point outside of the control limits is a signal that the process has shifted.  \nThere are many different types of control charts, and JMP can create all of these. All but the last category can be created with JMP’s Control Chart Builder platform.  \nThe purpose of a control chart is to detect if the distribution has changed. A distribution can change in two ways: the location can shift or the dispersion can get bigger.  \nThis is why control chart usually come in pairs, one for location and one for dispersion.  \nThe big question in control charts is how to estimate sigma? We’ll use the dispersion in the data. In control charts, you always want to make sure that you are estimating sigma using only common cause variation – natural process variation, not any estimator that might contain special cause variation – variation outside the normal process. That’s the reason we use short-term estimators. You’ll never want to use the average plus or minus three times the standard deviation to calculate control limits. The sample standard deviation of all the data can contain special cause variability, and  \nit will inflate the control limits so you will miss true changes ","cbCaie0bNYR5yOHY","https://ap.wps.com/l/cbCaie0bNYR5yOHY","pdf",4478299,39,"English","# 1.1 Control Chart Builder\n## Demonstration: Control Chart Builder\n# 1.2 X-MR Charts\n# 1.3 Xbar-R and Xbar-S Charts\n## Demonstration: Xbar-R and Xbar-S Charts\n# 1.4 Phases\n## Demonstration: Using Phases in Control Chart Builder\n# Practice\n# 1.5 Solutions\n## Solutions to Practices","[{\"question\":\"What is the primary purpose of a control chart?\",\"answer\":\"A control chart detects when the distribution of a process has changed. A point outside the control limits signals a shift in the process.\"},{\"question\":\"How can a process distribution change in a control-chart context?\",\"answer\":\"A distribution can change by a shift in location or by an increase in dispersion. That is why control charts are often organized into location and dispersion chart pairs.\"},{\"question\":\"Why does JMP emphasize estimating sigma using common-cause variation?\",\"answer\":\"Sigma must be estimated using only natural process variation, not any estimator that includes special-cause variation outside the normal process. Using biased estimates can inflate control limits and cause true changes to be missed.\"}]","JMP® : Jump into Control Charting Workshop Notes - version 18.1 | PDF",1791828615]