[{"data":1,"prerenderedAt":661},["ShallowReactive",2],{"$fOISGiitMbvLV7RW6RCPPcyslDTyvuSg7D3yzsO4VMZM":3,"$fmJsbk68bMPJX6hpviPU1IO9D9Wp_zae6Rn2ABzOhNIA":180},{"_createdAt":4,"_id":5,"_rev":6,"_system":7,"_type":5,"_updatedAt":10,"events":11,"isDraft":59},"2023-05-03T21:37:34Z","marketingMenu","uzeXgSDFKulPoPsr5BQquX",{"base":8},{"id":5,"rev":9},"R791bQM5pDxrgszZMdyKZY","2026-08-31T14:08:15Z",[12,101],{"_createdAt":13,"_id":14,"_rev":15,"_system":16,"_type":19,"_updatedAt":20,"actionLink":21,"actionText":22,"categories":23,"description":37,"endDateTime":38,"eventType":39,"isAllDay":40,"mainImage":41,"menuHeadline":96,"previewImage":97,"startDateTime":99,"title":100},"2024-03-29T19:58:59Z","d2f517a0-504f-4270-953e-5004c5cd18ac","c5VSj2bRGe7sLzsdjmxYgH",{"base":17},{"id":14,"rev":18},"1M5G74w851CzvOgp77tZmW","event","2026-07-23T16:20:04Z","https://www.moresteam.com/simcamp","Sign Up To Join Us",[24,28,31,34],{"_key":25,"_ref":26,"_type":27},"465135113500","ae5f7b26-5cf6-4063-89f4-8ddde0b16d59","reference",{"_key":29,"_ref":30,"_type":27},"02872cecbe12","3c1b8644-eb6f-4358-bdbc-168e2dc4f2ef",{"_key":32,"_ref":33,"_type":27},"afc32d7770f0","934786a9-dfff-4c87-b5cb-1ac4c6663d55",{"_key":35,"_ref":36,"_type":27},"1e7f83103835","d7dacdec-1bf8-4d8c-9e9a-1da29c06a904","Attend MoreSteam SimCamp, a Lean Six Sigma simulations workshop for Master Black Belts and trainers. ","2026-10-22T16:30:00.000Z","Event",true,{"_type":42,"asset":43},"image",{"_createdAt":44,"_id":45,"_rev":46,"_type":47,"_updatedAt":48,"altText":49,"assetId":50,"creditLine":49,"description":49,"extension":51,"metadata":52,"mimeType":85,"opt":86,"originalFilename":91,"path":92,"sha1hash":50,"size":93,"title":49,"uploadId":94,"url":95},"2026-03-31T13:47:21Z","image-7f0b139674c45352e2523647b76d9208e32b303a-185x185-webp","pmnyVwLoY8tQUTz1trFe8C","sanity.imageAsset","2026-03-31T13:47:37Z",null,"7f0b139674c45352e2523647b76d9208e32b303a","webp",{"_type":53,"blurHash":54,"dimensions":55,"hasAlpha":59,"isOpaque":40,"lqip":60,"palette":61},"sanity.imageMetadata","e6ED,#?70Y0Fq}E:tKMA97Vy3V$e{fES5?{{XRCNw[viH$NeKK-h=s",{"_type":56,"aspectRatio":57,"height":58,"width":58},"sanity.imageDimensions",1,185,false,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":63,"darkVibrant":68,"dominant":71,"lightMuted":74,"lightVibrant":78,"muted":81,"vibrant":82},"sanity.imagePalette",{"_type":64,"background":65,"foreground":66,"population":67,"title":66},"sanity.imagePaletteSwatch","#3a6c67","#fff",2.13,{"_type":64,"background":69,"foreground":66,"population":70,"title":66},"#6f6624",1.11,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},"#6c9c64",28.98,{"_type":64,"background":75,"foreground":76,"population":77,"title":66},"#c9c081","#000",0.04,{"_type":64,"background":79,"foreground":76,"population":80,"title":76},"#e6e34b",0.78,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},{"_type":64,"background":83,"foreground":76,"population":84,"title":66},"#e8982b",5.2,"image/webp",{"media":87},{"tags":88},[89],{"_ref":90,"_type":27,"_weak":40},"nJuznou76jLovZ8FxF1LP4","SimCamp-Fall-2023-185x185.webp","images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp",30716,"KeV0AciGUIUqB7xuTxekfiZAO5lAycqu","https://cdn.sanity.io/images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp","SimCamp | Oct 19-22",{"_type":42,"asset":98},{"_ref":45,"_type":27},"2026-10-19T16:00:00.000Z","Learn to Facilitate MoreSteam's Lean and DMAIC Training Simulations",{"_createdAt":102,"_id":103,"_rev":104,"_system":105,"_type":19,"_updatedAt":108,"actionLink":109,"actionText":110,"categories":111,"description":127,"endDateTime":128,"eventType":129,"isAllDay":59,"mainImage":130,"menuHeadline":175,"previewImage":176,"startDateTime":178,"title":179},"2023-04-18T17:53:24Z","153c7767-0777-4f79-bd9f-18652961581d","2g4bph6Gfgl2d2h9ia2QRs",{"base":106},{"id":103,"rev":107},"xacQZuBTbvuqeQ4wPnGHQ7","2026-07-23T16:18:06Z","https://www.moresteam.com/master-series/root-cause-analysis-fundamentals","Register Today",[112,115,118,121,124],{"_key":113,"_ref":114,"_type":27},"710322f2d349","8baf9cfe-0648-49e2-9579-5ff557dffca3",{"_key":116,"_ref":117,"_type":27},"22490c7e79a1","46ca6f5f-3433-4903-a8fe-de4973aa81ef",{"_key":119,"_ref":120,"_type":27},"6162d4b0121b","66950479-1495-42dc-af63-c0884ab6b066",{"_key":122,"_ref":123,"_type":27},"95aa7cdf3879","344b1c41-1e60-49c9-935a-a94b73f21261",{"_key":125,"_ref":126,"_type":27},"7afe42f6e988","f5c4add3-807e-411f-9483-677d5f9ab745","Most problems are symptoms of deeper system conditions. Learn practical root cause analysis with Peg Pennington and learn to uncover the causes behind recurring issues.","2026-10-20T16:00:00.000Z","Master Series",{"_type":42,"asset":131},{"_createdAt":132,"_id":133,"_rev":134,"_type":47,"_updatedAt":135,"altText":136,"assetId":137,"creditLine":49,"description":49,"extension":138,"metadata":139,"mimeType":164,"opt":165,"originalFilename":170,"path":171,"sha1hash":137,"size":172,"title":49,"uploadId":173,"url":174},"2026-04-17T15:00:04Z","image-29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386-png","n54XUON695cO06xFcbMffR","2026-04-17T15:01:09Z","Introduction to Root Cause Analysis Master Series Badge","29850b02c405fe4dfbd37b75f17d8dc06a9b8a97","png",{"_type":53,"blurHash":140,"dimensions":141,"hasAlpha":40,"isOpaque":59,"lqip":143,"palette":144},"eKHLe^xa00RkIURQayt7kBRj00R*~pt5%2%MofRQV[tQWTjYn+bING",{"_type":56,"aspectRatio":57,"height":142,"width":142},386,"data:image/png;base64,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",{"_type":62,"darkMuted":145,"darkVibrant":148,"dominant":151,"lightMuted":154,"lightVibrant":157,"muted":160,"vibrant":161},{"_type":64,"background":146,"foreground":66,"population":147,"title":66},"#262b4b",2.88,{"_type":64,"background":149,"foreground":66,"population":150,"title":66},"#04153f",0.17,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},"#99649d",3.9,{"_type":64,"background":155,"foreground":76,"population":156,"title":66},"#b0b8ca",0.52,{"_type":64,"background":158,"foreground":76,"population":159,"title":66},"#d5c1a4",0.11,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},{"_type":64,"background":162,"foreground":76,"population":163,"title":66},"#f5a553",0.43,"image/png",{"media":166},{"tags":167},[168],{"_ref":169,"_type":27,"_weak":40},"rnXCKoKrhbfNHMO1JWyxBh","2026-MasterSeries-RCA-Badge.png","images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png",41782,"ypppdg5gJ2Qy9aFm9YDPap0ggnHliUSk","https://cdn.sanity.io/images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png","Fundamentals of RCA | Oct 13th & 20th",{"_type":42,"asset":177},{"_ref":133,"_type":27},"2026-10-13T15:00:00.000Z","Earn a Certificate in Root Cause Analysis",{"actionText":181,"airDate":182,"authors":183,"blockAd":251,"body":338,"categories":49,"isDraft":59,"isMultipartWebinar":49,"isWebinarFull":59,"mainImage":507,"page":548,"presentationContent":49,"publishDate":602,"relatedContent":49,"transcript":49,"video":603,"webcastLink":660},"Sign up to join us","2025-03-19T15:00:00.000Z",[184],{"_createdAt":185,"_id":186,"_rev":187,"_system":188,"_type":191,"_updatedAt":192,"bio":193,"company":205,"employeeRef":49,"image":206,"linkedIn":49,"name":249,"title":250},"2023-02-01T15:04:34Z","5f1298c4-55a1-4817-a1fa-1de3e6fbce58","sxeb6r2wKbEzfEJNYLlhKT",{"base":189},{"id":186,"rev":190},"z1B5btfwJAFXTOIW9Jnscz","author","2025-12-01T16:14:39Z",[194],{"_key":195,"_type":196,"children":197,"markDefs":203,"style":204},"9963b40a5ce7","block",[198],{"_key":199,"_type":200,"marks":201,"text":202},"986e51eebb390","span",[],"Kevin Keller is a professional statistician and quality professional with over 30 years of experience teaching, coaching, and leading Lean Six Sigma project teams from the shop floor to the enterprise levels. He began his career as a process engineer at Texas Instruments and then served in a Master Black Belt role at MEMC Electronic Materials for 15 years. Kevin advanced to manage quality systems for AB‐InBev and eventually accepted a Master Black Belt position for AB‐InBev's North American Zone. Kevin earned a BS in Chemical Engineering from Missouri University of Science and Technology and a Masters in Applied Statistics from The Ohio State University. He also is a certified Lean Six Sigma MBB.",[],"normal","MoreSteam Client Services",{"_type":42,"asset":207},{"_createdAt":208,"_id":209,"_rev":210,"_type":47,"_updatedAt":211,"altText":212,"assetId":213,"creditLine":49,"description":49,"extension":138,"metadata":214,"mimeType":164,"opt":237,"originalFilename":244,"path":245,"sha1hash":213,"size":246,"title":212,"uploadId":247,"url":248},"2025-12-01T16:14:29Z","image-a49a4c4305e6ea6c3b2fb8650bdd9df2f7d4028c-1080x1080-png","YxTG4WJoWyG5FPP73RP6Sj","2025-12-01T16:15:35Z","Kevin Keller Headshot","a49a4c4305e6ea6c3b2fb8650bdd9df2f7d4028c",{"_type":53,"blurHash":215,"dimensions":216,"hasAlpha":40,"isOpaque":59,"lqip":218,"palette":219},"e9L3[g=r00I.8w~qM}DhxWNL00o#8wI=xZ-:xtIpaKt800Ip^*%L%#",{"_type":56,"aspectRatio":57,"height":217,"width":217},1080,"data:image/png;base64,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",{"_type":62,"darkMuted":220,"darkVibrant":222,"dominant":225,"lightMuted":228,"lightVibrant":231,"muted":232,"vibrant":234},{"_type":64,"background":221,"foreground":66,"population":163,"title":66},"#422623",{"_type":64,"background":223,"foreground":66,"population":224,"title":66},"#140807",0.1,{"_type":64,"background":226,"foreground":76,"population":227,"title":76},"#f4c4b8",5.4,{"_type":64,"background":229,"foreground":76,"population":230,"title":66},"#d7aaa3",3.44,{"_type":64,"background":226,"foreground":76,"population":227,"title":76},{"_type":64,"background":233,"foreground":66,"population":84,"title":66},"#a07971",{"_type":64,"background":235,"foreground":66,"population":236,"title":66},"#b07454",0.01,{"media":238},{"tags":239},[240,242],{"_ref":241,"_type":27,"_weak":40},"nJuznou76jLovZ8FximjGq",{"_ref":243,"_type":27,"_weak":40},"N44TlXIpI6iQPtJXbbYGAa","Kevin Keller-updated-headshot.png","images/oq9f4n1v/production/a49a4c4305e6ea6c3b2fb8650bdd9df2f7d4028c-1080x1080.png",1143174,"wuaSDysvceBFeE2F5wY47GJlJqTCxRxI","https://cdn.sanity.io/images/oq9f4n1v/production/a49a4c4305e6ea6c3b2fb8650bdd9df2f7d4028c-1080x1080.png","Kevin Keller","Master Black Belt",{"_id":252,"isDefault":59,"isDraft":59,"linkUrl":253,"primaryImage":254,"secondaryImage":301,"title":49},"bae3f9f8-f41f-46da-ba40-2c88dd3a1dc1","https://www.moresteam.com/engineroom?utm_source=ad&utm_medium=blockAd&utm_campaign=ER-Video-blockAd",{"asset":255},{"_createdAt":256,"_id":257,"_rev":258,"_type":47,"_updatedAt":259,"assetId":260,"extension":261,"metadata":262,"mimeType":289,"opt":290,"originalFilename":296,"path":297,"sha1hash":260,"size":298,"uploadId":299,"url":300},"2023-04-21T11:26:06Z","image-243d358b932e5cd5a744a70336d402ec2653945a-500x470-jpg","0xYk3i0i3IUqN42euRJdQV","2025-01-17T22:18:17Z","243d358b932e5cd5a744a70336d402ec2653945a","jpg",{"_type":53,"blurHash":263,"dimensions":264,"hasAlpha":59,"isOpaque":40,"lqip":268,"palette":269},"eIS5^oawcsxayD*0jHicoeaJy?t7VFjZVs@rbHPVa}T0yDkDVsbGRj",{"_type":56,"aspectRatio":265,"height":266,"width":267},1.0638297872340425,470,500,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":270,"darkVibrant":273,"dominant":276,"lightMuted":279,"lightVibrant":282,"muted":285,"vibrant":288},{"_type":64,"background":271,"foreground":66,"population":272,"title":66},"#304768",0,{"_type":64,"background":274,"foreground":66,"population":275,"title":66},"#3e5b85",4.14,{"_type":64,"background":277,"foreground":66,"population":278,"title":66},"#fa4736",7.31,{"_type":64,"background":280,"foreground":76,"population":281,"title":66},"#a4c0c6",0.32,{"_type":64,"background":283,"foreground":66,"population":284,"title":66},"#f54b4e",0.3,{"_type":64,"background":286,"foreground":66,"population":287,"title":66},"#ac5c4d",0.03,{"_type":64,"background":277,"foreground":66,"population":278,"title":66},"image/jpeg",{"media":291},{"tags":292},[293],{"_key":294,"_ref":295,"_type":27,"_weak":40},"avfbmWy5nBGgvM6DSuQB9","lQ0y5s0sFlKY4sC8XHeY6B","Block_Ad-EngineRoom-Video_500x470.jpeg","images/oq9f4n1v/production/243d358b932e5cd5a744a70336d402ec2653945a-500x470.jpg",103252,"tWbnrXw8wJOblKvaxddYvzfw6CLs6Ndi","https://cdn.sanity.io/images/oq9f4n1v/production/243d358b932e5cd5a744a70336d402ec2653945a-500x470.jpg",{"asset":302},{"_createdAt":303,"_id":304,"_rev":258,"_type":47,"_updatedAt":259,"assetId":305,"extension":261,"metadata":306,"mimeType":289,"opt":328,"originalFilename":333,"path":334,"sha1hash":305,"size":335,"uploadId":336,"url":337},"2023-04-21T11:26:09Z","image-b50660d8d2fba995d3a026ad52acfc152868ac6e-500x470-jpg","b50660d8d2fba995d3a026ad52acfc152868ac6e",{"_type":53,"blurHash":307,"dimensions":308,"hasAlpha":59,"isOpaque":40,"lqip":309,"palette":310},"eFS6JWavS^xuxu%hjHnOs.WByDxbV^jFR*~UbaJBbIRntRkWV[bGR%",{"_type":56,"aspectRatio":265,"height":266,"width":267},"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAATABQDASIAAhEBAxEB/8QAGQABAAIDAAAAAAAAAAAAAAAAAAMEAQII/8QAJhAAAgIBAQYHAAAAAAAAAAAAAQIAAxEEBRIhMUFhIiMyM1FSkv/EABYBAQEBAAAAAAAAAAAAAAAAAAABAv/EABoRAAMAAwEAAAAAAAAAAAAAAAABAhESQSH/2gAMAwEAAhEDEQA/AOjjtpaNo30aih0qrGRaBkNJE23pmOCX4jIO4Zk12q5A3mGOvUycm4AeWMdhE1OMNGlDfqZrhNUBatjKD2xEsKgcAnOYl2fDGk9KJHiPFv0ZDaWC+p+f2MRCKi5pPZ5nn8xEQD//2Q==",{"_type":62,"darkMuted":311,"darkVibrant":314,"dominant":317,"lightMuted":318,"lightVibrant":321,"muted":324,"vibrant":326},{"_type":64,"background":312,"foreground":66,"population":313,"title":66},"#1c2030",0.49,{"_type":64,"background":315,"foreground":66,"population":316,"title":66},"#1079ae",0.02,{"_type":64,"background":312,"foreground":66,"population":313,"title":66},{"_type":64,"background":319,"foreground":76,"population":320,"title":66},"#c0b3d4",0.05,{"_type":64,"background":322,"foreground":76,"population":323,"title":66},"#9aa9ea",0.24,{"_type":64,"background":325,"foreground":66,"population":316,"title":66},"#b1614e",{"_type":64,"background":327,"foreground":66,"population":316,"title":66},"#f24e24",{"media":329},{"tags":330},[331],{"_key":332,"_ref":295,"_type":27,"_weak":40},"wRlulMpP2m1h-7Q1X1zSj","Block_Ad-EngineRoom-Video_HOVER_500x4701.jpeg","images/oq9f4n1v/production/b50660d8d2fba995d3a026ad52acfc152868ac6e-500x470.jpg",107820,"xysay9CFFXyXeL15cXDpmJEQ2D5D3pfW","https://cdn.sanity.io/images/oq9f4n1v/production/b50660d8d2fba995d3a026ad52acfc152868ac6e-500x470.jpg",[339,347,372,404,413,426,438,450,458,466,474,482,490,498],{"_key":340,"_type":196,"asset":49,"children":341,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":346,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"8717fc058ef8",[342],{"_key":343,"_type":200,"marks":344,"text":345},"a30bb96de5f80",[],"Count data is one of the most common forms of data in continuous improvement—whether you're counting defects, clicks, complaints, or events. But not all count data is created equal. Datasets that have infrequent data over time, overdispersion, or display data across multiple categories or departments each require tailored analytical techniques to draw reliable conclusions.",[],{"_key":348,"_type":196,"asset":49,"children":349,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":371,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"ed5dba1a3cee",[350,354,359,363,367],{"_key":351,"_type":200,"marks":352,"text":353},"a3af856eb4c90",[],"For example, a company tracking ",{"_key":355,"_type":200,"marks":356,"text":358},"a3af856eb4c91",[357],"strong","infrequent safety incidents",{"_key":360,"_type":200,"marks":361,"text":362},"a3af856eb4c92",[]," may struggle to detect meaningful trends, while an organization receiving ",{"_key":364,"_type":200,"marks":365,"text":366},"a3af856eb4c93",[357],"thousands of customer complaints",{"_key":368,"_type":200,"marks":369,"text":370},"a3af856eb4c94",[]," needs to uncover patterns in large datasets. In both cases, traditional statistical methods often fail to provide reliable answers.",[],{"_key":373,"_type":196,"asset":49,"children":374,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":403,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"ab927d5d3f21",[375,379,383,387,391,395,399],{"_key":376,"_type":200,"marks":377,"text":378},"fdbabb07b8dc0",[],"Join us for this educational webinar as we explore ",{"_key":380,"_type":200,"marks":381,"text":382},"fdbabb07b8dc1",[357],"how to analyze count data based on its size and frequency",{"_key":384,"_type":200,"marks":385,"text":386},"fdbabb07b8dc2",[],". Using real-world examples, we’ll show you how to apply statistical tests like the ",{"_key":388,"_type":200,"marks":389,"text":390},"fdbabb07b8dc3",[357],"Poisson Goodness of Fit Test",{"_key":392,"_type":200,"marks":393,"text":394},"fdbabb07b8dc4",[]," and the ",{"_key":396,"_type":200,"marks":397,"text":398},"fdbabb07b8dc5",[357],"1-Sample Poisson Rate Test",{"_key":400,"_type":200,"marks":401,"text":402},"fdbabb07b8dc6",[],". You’ll leave with a solid understanding of when and how to use these techniques, along with actionable insights for your process improvement work.",[],{"_key":405,"_type":196,"asset":49,"children":406,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":411,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":412},"02825149166b",[407],{"_key":408,"_type":200,"marks":409,"text":410},"2a2ed4f4d3780",[],"What You'll Learn",[],"h3",{"_key":414,"_type":196,"asset":49,"children":415,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":425,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"141c893e040b",[416,420],{"_key":417,"_type":200,"marks":418,"text":419},"b30d65117a31",[357],"Count Data 101",{"_key":421,"_type":200,"marks":422,"text":423},"fcdc22bc53aa",[],": Why count data behaves differently and how to recognize its unique challenges.","bullet",[],{"_key":427,"_type":196,"asset":49,"children":428,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":437,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"af64112a4328",[429,433],{"_key":430,"_type":200,"marks":431,"text":432},"a35b866c1382",[357],"Techniques for Small Count Data",{"_key":434,"_type":200,"marks":435,"text":436},"4b46747bf659",[],": When to use the Poisson Goodness of Fit Test and 1-Sample Poisson Rate Test.",[],{"_key":439,"_type":196,"asset":49,"children":440,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":449,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"6b2f50b2420f",[441,445],{"_key":442,"_type":200,"marks":443,"text":444},"0281defde859",[357],"Analyzing Large and Frequent Data",{"_key":446,"_type":200,"marks":447,"text":448},"a0571723e3f1",[],": Assumptions that can be made for larger datasets.",[],{"_key":451,"_type":196,"asset":49,"children":452,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":457,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":412},"a0068c0b6d8d",[453],{"_key":454,"_type":200,"marks":455,"text":456},"1f4ab16605e50",[],"Who Should Attend",[],{"_key":459,"_type":196,"asset":49,"children":460,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":465,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"dcc4555ba37e",[461],{"_key":462,"_type":200,"marks":463,"text":464},"e9e071305bcd0",[],"Continuous Improvement Professionals",[],{"_key":467,"_type":196,"asset":49,"children":468,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":473,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"3c097281096d",[469],{"_key":470,"_type":200,"marks":471,"text":472},"6845778d19880",[],"Lean Six Sigma Practitioners",[],{"_key":475,"_type":196,"asset":49,"children":476,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":481,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"28af84ded9fc",[477],{"_key":478,"_type":200,"marks":479,"text":480},"067c1cb0f0a60",[],"Quality Engineers and Managers",[],{"_key":483,"_type":196,"asset":49,"children":484,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":489,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"e43cb12386ac",[485],{"_key":486,"_type":200,"marks":487,"text":488},"a95b9e899bf90",[],"Analysts working with count-based metrics in operations",[],{"_key":491,"_type":196,"asset":49,"children":492,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":424,"markDefs":497,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"a53d3aa33a46",[493],{"_key":494,"_type":200,"marks":495,"text":496},"ffffe84c2084",[],"People who count things",[],{"_key":499,"_type":196,"asset":49,"children":500,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":506,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"4e4207c7bd92",[501],{"_key":502,"_type":200,"marks":503,"text":505},"b8dfd244d7b00",[504],"em","Don’t miss this opportunity to make better decisions analyzing your count data! ",[],{"asset":508},{"_createdAt":509,"_id":510,"_rev":511,"_type":47,"_updatedAt":512,"altText":513,"assetId":514,"description":49,"extension":138,"metadata":515,"mimeType":164,"opt":541,"originalFilename":543,"path":544,"sha1hash":514,"size":545,"title":49,"uploadId":546,"url":547},"2025-01-31T15:29:24Z","image-27cae29f3b2b0b34006a9bc721209a6994355596-4445x834-png","Toa46WzIixJI0LGhOQxJvK","2025-01-31T15:32:48Z","Dots of varying colors of blue with a few sporadic dots that are yellow","27cae29f3b2b0b34006a9bc721209a6994355596",{"_type":53,"blurHash":516,"dimensions":517,"hasAlpha":59,"isOpaque":40,"lqip":521,"palette":522},"4CB~zj59I6~TR8",{"_type":56,"aspectRatio":518,"height":519,"width":520},5.329736211031175,834,4445,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAECAIAAAABPYjBAAAACXBIWXMAABcRAAAXEQHKJvM/AAAA/0lEQVR4nAH0AAv/AG+xsWyzrma1qV21oFazllGxilCwgVayemK1d3K6d4TAepXHgKDLiKPNkJ/MmZbJoYvEp369rHG0r2qtrgBhoaVdpKNYpp5Qp5hKp5BGp4dHqIBNqntZrnlmsnl1uHuEvoCOwYaRwoyPwZSJvpp/uZ90sKNop6RhoKMAT4+UTZKVSJaSQZiOPJiJOpmEO5yAP598S6N7WKh7Y619brGAd7SFerSJe7OPdrCSb6qUZqKWXJmWVZOVAEGDikGGiz+MijiOiDSPhjORgjKUfzWWfUCbe02he1alfl+ogGerhGqqiG2pjGqnjWSgjl2ajlORjUyJjBhSf4rEx5SGAAAAAElFTkSuQmCC",{"_type":62,"darkMuted":523,"darkVibrant":526,"dominant":529,"lightMuted":532,"lightVibrant":535,"muted":537,"vibrant":538},{"_type":64,"background":524,"foreground":66,"population":525,"title":66},"#4c898d",4.15,{"_type":64,"background":527,"foreground":66,"population":528,"title":66},"#288379",4.44,{"_type":64,"background":530,"foreground":66,"population":531,"title":66},"#58a672",6.11,{"_type":64,"background":533,"foreground":76,"population":534,"title":66},"#97c99c",2.21,{"_type":64,"background":536,"foreground":76,"population":236,"title":66},"#a4dc94",{"_type":64,"background":530,"foreground":66,"population":531,"title":66},{"_type":64,"background":539,"foreground":66,"population":540,"title":66},"#48a684",5.98,{"media":542},{"tags":49},"Mar25-Webinar-Counts_Header-Desktop.png","images/oq9f4n1v/production/27cae29f3b2b0b34006a9bc721209a6994355596-4445x834.png",1083322,"0AN3q9M96QfcpYiMHPoAsSh9P9ReyLaI","https://cdn.sanity.io/images/oq9f4n1v/production/27cae29f3b2b0b34006a9bc721209a6994355596-4445x834.png",{"description":549,"primaryHeading":550,"seo":551,"title":550},"Explore how to analyze count data of any size or frequency. Learn when to apply Poisson tests, how to handle overdispersion, and how to draw reliable insights from real-world datasets in this educational webinar.","Strategies for Analyzing Count Data",{"_type":552,"linkedInTrackingAccount":553,"metaDescription":554,"metaImage":555,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":601},"seo","MoreSteam","In this webinar, learn how to analyze count data using tests like Poisson Goodness of Fit to uncover trends and improve process decisions.",{"_type":42,"asset":556},{"_createdAt":509,"_id":557,"_rev":558,"_type":47,"_updatedAt":559,"altText":560,"assetId":561,"description":49,"extension":138,"metadata":562,"mimeType":164,"opt":589,"originalFilename":596,"path":597,"sha1hash":561,"size":598,"title":49,"uploadId":599,"url":600},"image-a6f152a3bd45a8b5bc522f88d97323e1c509ace6-2501x1307-png","DoAANF2LTsd1ssVJxF2pYI","2025-01-31T15:32:04Z","Strategies for Analyzing Count Data with Kevin Keller","a6f152a3bd45a8b5bc522f88d97323e1c509ace6",{"_type":53,"blurHash":563,"dimensions":564,"hasAlpha":59,"isOpaque":40,"lqip":568,"palette":569},"MUA{*aODV%%1f9?@WqXTt6flxZa#bIoebH",{"_type":56,"aspectRatio":565,"height":566,"width":567},1.9135424636572302,1307,2501,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAKCAIAAAA7N+mxAAAACXBIWXMAABcRAAAXEQHKJvM/AAACYElEQVR4nAXBC1PScAAA8H2YyvJOS089NcUHCogmZ5oo+SrlVBAvY7I/29gDmAOHY+MxdIDgC4FhKSiS1vko066r6yP1+0HM3wfi4Wr1trT0LTt7IU+eb5hO6akSWCzD6CUcvAWpezL7m839EQ7+JWK/9sny3seiAl9f2H9+h4i7a8dVZflLwXy2O12KmU444xFlUsBsAV4pwt5LEL4h4j+YxB0v32/6zrcsm8JMVLIUlA9fLyF75Wy5fDx/ln1XSk0UJeNxYPTIPV7AZj4BWxFgF5jvihJu1kK3PH8dpUsxWzpiTmwtHGasJyeQOZd7n89M5tPjijyihIYU7nXB++aIfPsZNxfx5VMCKdNEhaEqHFEWnUVppRC3ZtMLmb3ZgwxklJMj8bghIfUnRe12QLPDavc9+gPScOgay7mm88ScQi0qHmuetWS5hYwwtxuZSW1OxLfGYjI0GAz1CaJa5DtDnCrCtseY9rhblSTV266BHdfwnmtkhzSm3aaU15Rkx+X10Sg/HBaGBGGAC0K9DNvB+FpZX8s628x7mwR3Q4RqlIiWGN4l47oE3icT/TFqUKINUY9BXHsV8A/4/XrG30v5oDaEbEapBhdd76HrWOo5R9QE8VoRqw9jLRLaIaHdYVevSOgEQs+T+nVa53VrCLrXSXfBNNRscTbasBd2rAbFq0nsKeOs8jufBZy1QdAYQlpFoAqiah7XcJjOh+k8uAbHe2Cs24aq5lGoaRqum3PUWEG1HVShyGMKecQgT/xIdcBRF3Q08Y6XG6ArAHpYoPUALQ56VoF6Cek0O9qmVv8DlxMoufEBImEAAAAASUVORK5CYII=",{"_type":62,"darkMuted":570,"darkVibrant":573,"dominant":576,"lightMuted":579,"lightVibrant":580,"muted":583,"vibrant":586},{"_type":64,"background":571,"foreground":66,"population":572,"title":66},"#355e71",4.64,{"_type":64,"background":574,"foreground":66,"population":575,"title":66},"#1a7a6f",1.22,{"_type":64,"background":577,"foreground":76,"population":578,"title":66},"#a1cd8f",5.46,{"_type":64,"background":577,"foreground":76,"population":578,"title":66},{"_type":64,"background":581,"foreground":76,"population":582,"title":76},"#bcdc92",0.75,{"_type":64,"background":584,"foreground":66,"population":585,"title":66},"#589b9f",3.64,{"_type":64,"background":587,"foreground":66,"population":588,"title":66},"#58b283",4.42,{"media":590},{"tags":591},[592,594],{"_ref":593,"_type":27,"_weak":40},"nJuznou76jLovZ8FxEzaH0",{"_ref":595,"_type":27,"_weak":40},"Oer5e2DezxTuShP7Rhm2Iq","Mar25-Webinar-Counts_Meta Image.png","images/oq9f4n1v/production/a6f152a3bd45a8b5bc522f88d97323e1c509ace6-2501x1307.png",1110210,"k0tAKKg9xKyebQ89ycAOtMPHhIVtZt80","https://cdn.sanity.io/images/oq9f4n1v/production/a6f152a3bd45a8b5bc522f88d97323e1c509ace6-2501x1307.png","article","2025-01-28",{"_type":604,"fileType":605,"muxVideo":606,"posterImage":615,"textTrack":49},"video","mux.video",{"_createdAt":607,"_id":608,"_rev":609,"_type":610,"_updatedAt":611,"title":612,"video":613},"2025-03-19T19:28:00Z","95c14c34-ec00-4e78-bc05-6c36bf69931b","UUkElTkfRXUjEwwyU0XoyQ","videoFile","2025-03-20T14:31:20Z","Webinar - Strategies for Analyzing Count Data 3.29.25",{"playbackId":614,"title":49},"USrB3uCWrw0201ZhmFogVJWHZ4fU6FcgErF9JDJ6o00l5k",{"_type":42,"asset":616},{"_createdAt":617,"_id":618,"_rev":619,"_type":47,"_updatedAt":620,"altText":560,"assetId":621,"description":49,"extension":138,"metadata":622,"mimeType":164,"opt":649,"originalFilename":655,"path":656,"sha1hash":621,"size":657,"title":49,"uploadId":658,"url":659},"2025-01-31T15:29:27Z","image-01cdea0d38b3fb34bc48228d8297b37fd115e59c-4001x2251-png","Toa46WzIixJI0LGhOQxHtW","2025-01-31T15:32:11Z","01cdea0d38b3fb34bc48228d8297b37fd115e59c",{"_type":53,"blurHash":623,"dimensions":624,"hasAlpha":59,"isOpaque":40,"lqip":628,"palette":629},"MVA{-iNbV%xZah?@WCXTs:a#t5aybIoLfR",{"_type":56,"aspectRatio":625,"height":626,"width":627},1.7774322523322967,2251,4001,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAALCAIAAADwazoUAAAACXBIWXMAABcRAAAXEQHKJvM/AAAClUlEQVR4nAXBiU7aAAAA0P7LtmjmRiYxjChThoInHhlGRcbQEYa6KVdbWqAHUG5KuUFAERCUeQAqAuJ97IjZN+09wPHvj7Hd2Kgfae4OVu9z8kZgoUrKKsaVUz16oWdu4ewTVv7rKD8Hc8/p2N+i69ex6b5uuL/W/X4CTFeXqvyuPJNS1XZUl1vyemChYv18jKpPQOgcdDThcNucurKlb/2bj0nmMU/d/USva/rrlvbuFjA0Gury/nJp52s1u9xMyRuM7MyhOMPV56ihiRAt1NvGg1dU5MYffkj4H3K2m330sqK7OFtvNYEftdpK9VBZLSpq24u1+Hw1MF91Smvk0gm2VrdADQxvkVTb6Wj7qYso2Uoj5znd6d5a5UB1eAzIC7vSQm6umJGUEtOloLjknSw5pveskjIuO8SUR/j3CqmpUrqKR3vEbBxEVvYSymJGkc/KsjvAVHRTHIuPJyMjqeBQ2jeYcYq27SM5cjSPiwu4ZBeXFkl50a4ouJbyvi9ZWpph5jZDc4mIJBYDRJ6QyBsYpOn+oLcv7OqN2j4kyYE0zk/jgjQ2nMHEW8RMxvopRc0mXbNx10zYM8X4pv2+CY8f4ONuPunk2R1cF9XjtbFpoieMcaIYN4b1xSz8uFmYsIzG8fEIMcGQk37ruNs+RjnHCOew2Qn0acleA8FBcDaOsWyWt24zi0ZZjKmbMXNCJl4E5YdRYQgV0aYRl2XUZhnGcBFCCA3EkJYEuEqUo0bY6wgLQl6bkU4b0uE2dvrgLtrYzcDvGZgXgPk+eNBpFFoRoQkZAlHBBvpxBR1QIgBnUd+jMLz7ZujSQB1G6CUOvaCgVx6w0we+oUE2DXJ9IM8F8u2QAIMEECzQwPxVuH8Z4i0a/gNv0EjiRF1M4AAAAABJRU5ErkJggg==",{"_type":62,"darkMuted":630,"darkVibrant":633,"dominant":636,"lightMuted":639,"lightVibrant":642,"muted":645,"vibrant":646},{"_type":64,"background":631,"foreground":66,"population":632,"title":66},"#355e73",4.9,{"_type":64,"background":634,"foreground":66,"population":635,"title":66},"#1a7c6e",0.83,{"_type":64,"background":637,"foreground":66,"population":638,"title":66},"#61a18c",5.85,{"_type":64,"background":640,"foreground":76,"population":641,"title":66},"#80bb87",5.13,{"_type":64,"background":643,"foreground":76,"population":644,"title":66},"#aad396",5.1,{"_type":64,"background":637,"foreground":66,"population":638,"title":66},{"_type":64,"background":647,"foreground":66,"population":648,"title":66},"#4ea68b",5.63,{"media":650},{"tags":651},[652,654],{"_ref":653,"_type":27,"_weak":40},"N44TlXIpI6iQPtJXbbV1ID",{"_ref":595,"_type":27,"_weak":40},"Mar25-Webinar-Counts_Poster.png","images/oq9f4n1v/production/01cdea0d38b3fb34bc48228d8297b37fd115e59c-4001x2251.png",1955499,"MlhM5VKnz6j5UUPjEfqR3LdxEtpe0zs1","https://cdn.sanity.io/images/oq9f4n1v/production/01cdea0d38b3fb34bc48228d8297b37fd115e59c-4001x2251.png","https://moresteam.zoom.us/webinar/register/WN_mREM_QG3Tca5bnldqzHKhg",1788293793358]