[{"data":1,"prerenderedAt":717},["ShallowReactive",2],{"$fOISGiitMbvLV7RW6RCPPcyslDTyvuSg7D3yzsO4VMZM":3,"$fPu4qHjCUUx83GefsDdFFuZq_DezDuKhHgYcVP6f13bQ":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,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAACXBIWXMAABcRAAAXEQHKJvM/AAAFmElEQVR4nGWUe0xTZxTAr3GPv4xuf8xly2SKLrph0OCiQVSkT9retrftpQ+KhfLqoO8HVCoUFcW3ITFbnJtK3GJEhYnOF1N84ZxucYkKSBUKBdrSgqVQBOR+Z7l1S9x2/vyS73fO951zfhj2Rrjd7rfIfPf7YtKWwhGbdUyh8RgTN9zNEBg612eWdGzkld5mCI1HOIS5gEfaV4g0pnn0HQzDZmH/iVlcg+Fdicq5iC2yqDJw47dMoek3PunolWsqhxW5lWN80h7lyexhoaLcy5FYf2UKjF+zCBMpUbkSSLf7nX9BaZhAsnlppsRq5UqsrSyxZYhP2qeVeVWUpriGUuZWIZx0oCzNFiq/tJZSat3TPJk9wBKZr7LFFj2pdi4myTj09TPpymgYLi+7r8yrikmynRQLNyKh2IpkRDmSCstAzLMCIbQjUrEZKTSViE4mzXGNcSW2Ng5hLSVz3AtIsmE2plLVvseRWpUcsfW6IrcyVqCvRTKVE+FcM+QJXLBZtQ9qdd/AjsJD4MjaBVp8C0hFZUBmV0BO4TaEy8vGNvD0l7mEhSgqKp+L8UlbSiq7+PDqjMKhTImFytK4kMG0F+q2nYAftp6BszXNcKmuBX7efxkaqpvgxNbTcLC6HnT63SBWlqM0to5KTtUMrmUX15Gq8uUY3c3kVM29T5Mk08tWKZG6wA2NP7VCd0cfeB/2QuftLmi/0QntrR3QeasrfuZ55IWTp66CLMcFickytOALYmplmuYWT2pRYxkC/fefpSi9HyTyqaTV2ah2fz30eAdhevoVTI5PwotABIZ6QhD2DcP4SAxioxMwGh6Djo4ecO84AktXKdD8RD617EuVhyE0HsTWsXW3FyVnhecvFlAMfglqOt0Eo4Pd8HI0AtGRcQj1D8OgJwjB7hBEw2Mw4o9AoGcI/P0hOHmmBdI4OkQXk7hC7k/n6c9jazIK2xOSpNEPl+CIII1w88x3MP74IoQ9nTDwPAD+3hAEuodg4Kkf+j1+8Lb3Q1/HAIQDI3Dl2j3gSa3xChculw2ncXRt2BpG0ZMlK+XRRctJRKqscLPpBMSe3oBIXzf4vUPge+aH3o5+6H7cCz3tPuh54oPeJ/3g9wbh4qU7gGc5UEKShFqyUvEauD6z9OY6bkmIgRspuaYCNZ69AJHgAExPxCAWnYDQwHAc+PxRLwx6gxDsC4GvYxC6/uyGo0ebX3eao6PWMIv96QLDOYwtNh0WKZzd9EZkF7jR3rofwfPcB6+mX8HMqxmYmpiC0XAUhvrCEOwLw1BvOP6nD+4+huqaIyDLqUCyTRUUV2rtYovMezCexJLPl9nbNMXbp3J121GxaRecbroGgeBwHErNUHHwxNhLCPmGYaDLD+2/P4Pj9RegQL8T1AXV9EpOcglLK5ewKDDaGmyx6ZBY6fSrC7dSirxKZHQcgIbGa/DU0wcvImMwOTkFE7FJCAyG4eEfnXDs+Hko0u8CRW4l2lS0bQaXO3wcsXmfkLR9jok07nl80iZjE5YruKJsTK7ZQmdE2pIdQM/kqcZfoKX1AbRcvx8fk5376iHvqxoQyh1IrCynREpnhENYmnGpQ6DV7p6DbYjLwZVAW4OBG9sEWfaoSls1o9RWIULlRHyZ9Z8ESF1IP8+F6KRSdcUMS2iOMATG65mEtYDcVPExSZKz4y6k1UMriCuylLBEpksipXNApa2aEpB2akWqhlrLKqYUeVWUUltNyXIqKELlfMmX2X0M3NjMFJkLcNK2sKjo8NtvOjEOlctdn9DWYIrMdWzCciudp/ekrMv3r8/Uh2VqV1iidg1ypbYuptDYyhKa9maKrQKFwvHR37D/R0NDw2wmWT6XT9iS2IQ5OwM3HNjI059P55e2MYSGOyyR+RxTZN7DkdqyxPKyZULh7jlxB74RfwGbHmC3YZxGaAAAAABJRU5ErkJggg==",{"_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":397,"page":438,"presentationContent":49,"publishDate":493,"relatedContent":494,"transcript":49,"video":659,"webcastLink":716},"Sign up to join us","2025-06-24T15:00:00.000Z",[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,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",{"_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",[339,347,355,363,372,381,389],{"_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},"8ac785a6e1a6",[342],{"_key":343,"_type":200,"marks":344,"text":345},"8b3bc6701e600",[],"When you run a hypothesis test, you’re trusting that your data meets some critical assumptions — but what if it doesn’t?\n\nMany practitioners unknowingly apply statistical tests to time-ordered data that violates the assumption of independence, leading to misleading conclusions and costly mistakes.",[],{"_key":348,"_type":196,"asset":49,"children":349,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":354,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"4ae69a786305",[350],{"_key":351,"_type":200,"marks":352,"text":353},"5c7a1d69db380",[],"For example, two processes might both experience trends over time — one drifting upward, the other stationary — yet a t-test could misleadingly suggest no difference. Without first checking for stability and stationarity, you risk trusting results that don’t reflect reality.",[],{"_key":356,"_type":196,"asset":49,"children":357,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":362,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"c0916c28581f",[358],{"_key":359,"_type":200,"marks":360,"text":361},"16f27e42b2060",[],"Join us for this educational webinar as we explore the critical first step before running any hypothesis test: verifying assumptions. Through real-world examples, we’ll demonstrate how simple graphical checks can reveal hidden patterns like trends, shifts, and instability — and why checking for independence and identical distribution is essential for meaningful analysis.",[],{"_key":364,"_type":196,"asset":49,"children":365,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":370,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":371},"a4f1804bdd35",[366],{"_key":367,"_type":200,"marks":368,"text":369},"ca6e3f88dce50",[],"What You'll Learn",[],"h2",{"_key":373,"_type":196,"asset":49,"children":374,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":379,"markDefs":380,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"84bfd04c5c4a",[375],{"_key":376,"_type":200,"marks":377,"text":378},"9181120b88970",[],"Understand the key assumptions behind standard statistical analyses and graphs — and why they matter.","bullet",[],{"_key":382,"_type":196,"asset":49,"children":383,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":379,"markDefs":388,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"a673b3b7b349",[384],{"_key":385,"_type":200,"marks":386,"text":387},"7e528ff5419d",[],"Learn simple tools you can use to test whether critical assumptions like independence and stationarity are violated.",[],{"_key":390,"_type":196,"asset":49,"children":391,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":379,"markDefs":396,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":204},"66df26a39bd6",[392],{"_key":393,"_type":200,"marks":394,"text":395},"edd738ae4e6f",[],"How to visually detect trends, shifts, and non-random patterns that could compromise your results.",[],{"asset":398},{"_createdAt":399,"_id":400,"_rev":401,"_type":47,"_updatedAt":402,"altText":403,"assetId":404,"description":49,"extension":138,"metadata":405,"mimeType":164,"opt":428,"originalFilename":433,"path":434,"sha1hash":404,"size":435,"title":49,"uploadId":436,"url":437},"2025-05-13T20:36:15Z","image-b659b82d434e461c3e461d88eef6513e184a22c4-4445x834-png","6GQVMObKpWvjCX4LMvXRuw","2025-05-13T20:38:27Z","Abstract image of data and hypothesis tests","b659b82d434e461c3e461d88eef6513e184a22c4",{"_type":53,"blurHash":406,"dimensions":407,"hasAlpha":59,"isOpaque":40,"lqip":411,"palette":412},"4CNFRpIq|^]+10",{"_type":56,"aspectRatio":408,"height":409,"width":410},5.329736211031175,834,4445,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAECAIAAAABPYjBAAAACXBIWXMAABcRAAAXEQHKJvM/AAAA/0lEQVR4nAH0AAv/AOZVHeNVHOZcIOpkJullKOhpK+lxLuVuKdBRFbkyBLo2BtVgHO2GNux8Md1bFttXEel0Ku10NOFQJNxJHQDXNw/TOQ7bRxTgSRfXPBPLOBPKQBXLRhO+OAqtJgKwKgPJRw/fWxvfTRXUPQjUSQrjaSDnZyvUORnDJwwAwRUDvhsDyCgHzCYIvRcErRADqRUEqR0EpB0CnxoApB4AsicExCoGzigDzCkBzjkE2VES20sbxSMOrREDAKsGAKkKALERAbURAqsMAaEJApsJApIKAI0NAJIRAJgUAJsSAKgSAb4cAcklAcsuAs81B8woCrgSBqEJAbwdU3WywV+QAAAAAElFTkSuQmCC",{"_type":62,"darkMuted":413,"darkVibrant":415,"dominant":418,"lightMuted":421,"lightVibrant":423,"muted":425,"vibrant":427},{"_type":64,"background":414,"foreground":66,"population":272,"title":66},"#940804",{"_type":64,"background":416,"foreground":66,"population":417,"title":66},"#880804",3.69,{"_type":64,"background":419,"foreground":66,"population":420,"title":66},"#d72507",5.59,{"_type":64,"background":422,"foreground":66,"population":272,"title":66},"#963102",{"_type":64,"background":424,"foreground":76,"population":287,"title":66},"#fc844c",{"_type":64,"background":426,"foreground":66,"population":272,"title":66},"#941904",{"_type":64,"background":419,"foreground":66,"population":420,"title":66},{"media":429},{"tags":430},[431],{"_ref":432,"_type":27,"_weak":40},"9Ystt4Yjacgqs44n6pihhc","June25-Hypothesis-Webinar_Header-Desktop.png","images/oq9f4n1v/production/b659b82d434e461c3e461d88eef6513e184a22c4-4445x834.png",1179107,"zWUzCOwAqPdjWRMzisNB0kmwpSKVWtvo","https://cdn.sanity.io/images/oq9f4n1v/production/b659b82d434e461c3e461d88eef6513e184a22c4-4445x834.png",{"description":439,"primaryHeading":440,"seo":441,"title":440},"Hypothesis tests rely on critical assumptions about your data — but what if those assumptions aren't met? This webinar will teach you how to verify stability and independence before testing, so your conclusions stay trustworthy and accurate.","First Things First: Verifying Assumptions Before Hypothesis Testing",{"_type":442,"linkedInTrackingAccount":443,"metaDescription":444,"metaImage":445,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":492},"seo","MoreSteam","In this webinar, you’ll learn simple tools to check for assumption violations that could lead to misleading results when running hypothesis tests.",{"_type":42,"asset":446},{"_createdAt":447,"_id":448,"_rev":449,"_type":47,"_updatedAt":450,"altText":451,"assetId":452,"description":49,"extension":138,"metadata":453,"mimeType":164,"opt":479,"originalFilename":487,"path":488,"sha1hash":452,"size":489,"title":49,"uploadId":490,"url":491},"2025-05-13T20:37:27Z","image-9e35bc5fac5c765c6e44ed5066863ce45452b596-2501x1307-png","6GQVMObKpWvjCX4LMvXXHG","2025-05-13T20:39:42Z","First Things First: Verifying Assumptions Before Hypothesis Testing with Kevin Keller, MBB","9e35bc5fac5c765c6e44ed5066863ce45452b596",{"_type":53,"blurHash":454,"dimensions":455,"hasAlpha":59,"isOpaque":40,"lqip":459,"palette":460},"MjOw:7sowJR*R,qGn%xZofR+_NazR*WCj[",{"_type":56,"aspectRatio":456,"height":457,"width":458},1.9135424636572302,1307,2501,"data:image/png;base64,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",{"_type":62,"darkMuted":461,"darkVibrant":464,"dominant":467,"lightMuted":470,"lightVibrant":473,"muted":475,"vibrant":478},{"_type":64,"background":462,"foreground":66,"population":463,"title":66},"#3b283a",2.24,{"_type":64,"background":465,"foreground":66,"population":466,"title":66},"#981204",6.06,{"_type":64,"background":468,"foreground":66,"population":469,"title":66},"#ec5f23",6.57,{"_type":64,"background":471,"foreground":76,"population":472,"title":66},"#babdc9",0.97,{"_type":64,"background":474,"foreground":76,"population":272,"title":66},"#fcb464",{"_type":64,"background":476,"foreground":66,"population":477,"title":66},"#727680",0.26,{"_type":64,"background":468,"foreground":66,"population":469,"title":66},{"media":480},{"tags":481},[482,484,486],{"_ref":483,"_type":27,"_weak":40},"nJuznou76jLovZ8FxEzaH0",{"_ref":485,"_type":27,"_weak":40},"Oer5e2DezxTuShP7Rhm2Iq",{"_ref":432,"_type":27,"_weak":40},"June25-Hypothesis-Webinar_Meta Image.png","images/oq9f4n1v/production/9e35bc5fac5c765c6e44ed5066863ce45452b596-2501x1307.png",753897,"EqGTjoZbPc86fs1GhfrCIsWLveGhyK4H","https://cdn.sanity.io/images/oq9f4n1v/production/9e35bc5fac5c765c6e44ed5066863ce45452b596-2501x1307.png","article","2025-05-13",[495,559,611],{"_type":496,"mainImage":497,"page":538,"publishDate":558},"webcast",{"_type":42,"asset":498},{"_createdAt":499,"_id":500,"_rev":258,"_type":47,"_updatedAt":259,"assetId":501,"extension":138,"metadata":502,"mimeType":164,"opt":528,"originalFilename":533,"path":534,"sha1hash":501,"size":535,"uploadId":536,"url":537},"2024-10-04T19:16:47Z","image-f08408187c1efeb01bd16cea0dc1025a59ade94d-2134x400-png","f08408187c1efeb01bd16cea0dc1025a59ade94d",{"_type":53,"blurHash":503,"dimensions":504,"hasAlpha":59,"isOpaque":40,"lqip":508,"palette":509},"46E5j05*s%~VuK",{"_type":56,"aspectRatio":505,"height":506,"width":507},5.335,400,2134,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAECAIAAAABPYjBAAAACXBIWXMAAAsSAAALEgHS3X78AAAA90lEQVQImQXBbUuDQAAAYH/iPsYiAhkMgmEw6WUmvtzp9gcqBo1p2JgT3Ficl87zvPNcC1ZWq35PzyOBTw4PldUwc0/BFzeaql9QJSGaYOAgnL8a/grnR7gfwt1WsObWjppvhb0v4Xcl6UV2w8hlQVSaqxXt5UQOU9nHvXij1cxuhP0unJ0YUT5EFKwLuyjtV25tuVFTaRAhNUrOwkQO0ckcHQWo7eHTCe5MsRLn1xumpxysmLsgziyFsw2MS5gKHZUXEZa0APUD1PXX7Ydl6zZq3S+PPSx7WWfy0vXT8wUZhNSc5sYdMsfP7mM2ChiY86unTBmv/gHXypjZwucfDgAAAABJRU5ErkJggg==",{"_type":62,"darkMuted":510,"darkVibrant":512,"dominant":515,"lightMuted":518,"lightVibrant":521,"muted":522,"vibrant":525},{"_type":64,"background":511,"foreground":66,"population":272,"title":66},"#2d536b",{"_type":64,"background":513,"foreground":66,"population":514,"title":66},"#3e7394",0.63,{"_type":64,"background":516,"foreground":76,"population":517,"title":66},"#84d4c4",21.54,{"_type":64,"background":519,"foreground":76,"population":520,"title":66},"#9cb8cf",0.18,{"_type":64,"background":516,"foreground":76,"population":517,"title":66},{"_type":64,"background":523,"foreground":66,"population":524,"title":66},"#628fac",4.75,{"_type":64,"background":526,"foreground":66,"population":527,"title":66},"#4c9bb4",0.25,{"media":529},{"tags":530},[531],{"_key":532,"_ref":295,"_type":27,"_weak":40},"hGoafBkuAexpyfNiSKJlN","Nov24-KevinKeller-Hypothesis-Testing_Header-Desktop.png","images/oq9f4n1v/production/f08408187c1efeb01bd16cea0dc1025a59ade94d-2134x400.png",252257,"RBLoD2kiPxcQBFQ2376Z3LqUDoERNtuA","https://cdn.sanity.io/images/oq9f4n1v/production/f08408187c1efeb01bd16cea0dc1025a59ade94d-2134x400.png",{"_type":539,"description":540,"internalRoute":541,"primaryHeading":544,"searchIndices":545,"seo":552,"title":544},"page","Join us for a webinar that simplifies the concepts of Statistical Hypothesis Testing while also maintaining statistical rigor. You will learn how to test for significance without getting lost in complex jargon. Register now to secure your spot!",{"_type":542,"current":543},"slug","resources/webcasts/hypothesis-testing-simplified","Unlocking the Power of Statistical Hypothesis Testing: A Fresh Approach",[546,549],{"_key":547,"_ref":548,"_type":27},"244f65de55e7","5169f84b-11b1-4c37-ab97-97f0d1d38a3b",{"_key":550,"_ref":551,"_type":27},"244f65de55e8","28d7b6a0-8d49-4c62-a1bf-dba60784ca91",{"_type":442,"linkedInTrackingAccount":553,"metaDescription":554,"metaImage":555,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":492},"EngineRoom","Join us for a webinar that simplifies the concepts of Statistical Hypothesis. Register now to secure your spot!",{"_type":42,"asset":556},{"_ref":557,"_type":27},"image-fef70435ff7f1eeb724ff8d837ea2b6230930470-1201x628-png","2024-11-20",{"_type":496,"mainImage":560,"page":597,"publishDate":610},{"_type":42,"asset":561},{"_createdAt":562,"_id":563,"_rev":258,"_type":47,"_updatedAt":259,"assetId":564,"extension":138,"metadata":565,"mimeType":164,"opt":587,"originalFilename":592,"path":593,"sha1hash":564,"size":594,"uploadId":595,"url":596},"2024-11-04T16:11:41Z","image-0ae7d189674be44c2d7b392786e391577d546cc5-4445x834-png","0ae7d189674be44c2d7b392786e391577d546cc5",{"_type":53,"blurHash":566,"dimensions":567,"hasAlpha":59,"isOpaque":40,"lqip":568,"palette":569},"47P~_LM,060Io=",{"_type":56,"aspectRatio":408,"height":409,"width":410},"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAECAIAAAABPYjBAAAACXBIWXMAABcRAAAXEQHKJvM/AAAA90lEQVR4nC3L30rCUBwA4D1mj9FFQRdeKGl/xJ3zW5RlIEkJBgVCXlQUURdpbcgUNzc3PJtnx63teLb1BjEIvttPIjq4qkJNYDYEc/xDkAhxzpXf9F8ag6OdPZ93X1oPjnqbsNNoiZiF1w6SXi+a750r860dTOuBccRsmTOccSUXUGRRZH/W+u73R3ePi2E7tGrMOl4ZCjVPpN4uPEFnMrj0hqVgWqbzRuShTYjSBOcCcqFkHGLaXOrdxejG12pU2/HGVTKuE7UiDUrbX9cV97NBJ/vMOmCOvHZxSORNiDIOaYILMcQ+jj2Z+9XILvv6ofOxZ9xv/QFr97QqREdwcgAAAABJRU5ErkJggg==",{"_type":62,"darkMuted":570,"darkVibrant":572,"dominant":574,"lightMuted":577,"lightVibrant":580,"muted":581,"vibrant":584},{"_type":64,"background":571,"foreground":66,"population":287,"title":66},"#714674",{"_type":64,"background":573,"foreground":66,"population":77,"title":66},"#945417",{"_type":64,"background":575,"foreground":76,"population":576,"title":76},"#f4ec94",19.8,{"_type":64,"background":578,"foreground":76,"population":579,"title":76},"#d8beda",4.29,{"_type":64,"background":575,"foreground":76,"population":576,"title":76},{"_type":64,"background":582,"foreground":66,"population":583,"title":66},"#986598",6.7,{"_type":64,"background":585,"foreground":66,"population":586,"title":66},"#c98817",3.79,{"media":588},{"tags":589},[590],{"_key":591,"_ref":295,"_type":27,"_weak":40},"aRRYO0oT44ccnyfeN8Sjm","Dec24-Power-SampleSize_Header-Desktop.png","images/oq9f4n1v/production/0ae7d189674be44c2d7b392786e391577d546cc5-4445x834.png",1307454,"0iEqpWabNmJ0CwVAt7DDNR1vOv5DFkAN","https://cdn.sanity.io/images/oq9f4n1v/production/0ae7d189674be44c2d7b392786e391577d546cc5-4445x834.png",{"_type":539,"description":598,"internalRoute":599,"primaryHeading":601,"searchIndices":602,"seo":605,"title":601},"Explore the relationship between statistical power and sample size in this free webinar. Learn how to plan experiments, minimize error, and make confident, data-driven decisions.",{"current":600},"resources/webcasts/power-and-sample-size","Making Sense of Power & Sample Size",[603,604],{"_key":547,"_ref":548,"_type":27},{"_key":550,"_ref":551,"_type":27},{"_type":442,"linkedInTrackingAccount":443,"metaDescription":606,"metaImage":607,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":492},"In this webinar, learn how statistical power and sample size impact your results and discover how to plan reliable, data-driven experiments.",{"_type":42,"asset":608},{"_ref":609,"_type":27},"image-8480dfd22b2ff3ce1cec46d3b14f77b1a86cbcf9-1201x628-png","2024-12-18",{"_type":496,"mainImage":612,"page":646,"publishDate":658},{"_type":42,"asset":613},{"_createdAt":614,"_id":615,"_rev":258,"_type":47,"_updatedAt":259,"assetId":616,"extension":138,"metadata":617,"mimeType":164,"opt":636,"originalFilename":641,"path":642,"sha1hash":616,"size":643,"uploadId":644,"url":645},"2024-03-01T22:51:13Z","image-c9ad38e4d78bd63f6a69cfdda12dca0dfff86c5c-2134x400-png","c9ad38e4d78bd63f6a69cfdda12dca0dfff86c5c",{"_type":53,"blurHash":618,"dimensions":619,"hasAlpha":59,"isOpaque":40,"lqip":620,"palette":621},"435+RjtV4AHrqH",{"_type":56,"aspectRatio":505,"height":506,"width":507},"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAECAIAAAABPYjBAAAACXBIWXMAAAsSAAALEgHS3X78AAAA9UlEQVQImRXL3U6CUAAAYF4DlYo0ySbZKs2NySDoubqii5ZwDiALZlv+NCUZGnICzgGkN2t+9x9FPy8a2pod7y7thHdIf1KKsFABedKJOsayjkdGNrTSeye58ZLuZ9JZZ1yILyLSijFFa1/1t82pHbW9jJ/mA7cU7VKBuQpyxSCSjgU9ewDprfV77aArF3EfqDWLz5cxu9xTNeAz71t2jrhv0vPLweIwmh5kp1SsQoG5BIig42OGiId7zoya5u4MhowZNGBA1d3gZPbTDJMOKnpx1d9UwvxP8qrHyfHLZiFCMoTpHYi7RtQeb9nXgHnxa9qK1lb/jAJ2tf+lMEMAAAAASUVORK5CYII=",{"_type":62,"darkMuted":622,"darkVibrant":624,"dominant":627,"lightMuted":630,"lightVibrant":632,"muted":634,"vibrant":635},{"_type":64,"background":623,"foreground":66,"population":272,"title":66},"#09708f",{"_type":64,"background":625,"foreground":66,"population":626,"title":66},"#0b7fa2",0.44,{"_type":64,"background":628,"foreground":66,"population":629,"title":66},"#26a7b7",6.56,{"_type":64,"background":631,"foreground":66,"population":272,"title":66},"#1a737e",{"_type":64,"background":633,"foreground":76,"population":272,"title":76},"#91dee8",{"_type":64,"background":631,"foreground":66,"population":272,"title":66},{"_type":64,"background":628,"foreground":66,"population":629,"title":66},{"media":637},{"tags":638},[639],{"_key":640,"_ref":295,"_type":27,"_weak":40},"D5LbxeDZStSeLk4nWKqGV","Webinar-Apr2024-GageRR-KevinKeller_Header-Desktop.png","images/oq9f4n1v/production/c9ad38e4d78bd63f6a69cfdda12dca0dfff86c5c-2134x400.png",168984,"06y3IsPnG8hpNbbAVoXXIuODa9DcYW0L","https://cdn.sanity.io/images/oq9f4n1v/production/c9ad38e4d78bd63f6a69cfdda12dca0dfff86c5c-2134x400.png",{"_type":539,"description":647,"internalRoute":648,"primaryHeading":650,"searchIndices":651,"seo":654,"title":650},"Learn to design and execute a Destructive Gauge R&R study with Master Black Belt Kevin Keller in this insightful webinar.",{"current":649},"resources/webcasts/destructive-gauge-rr","Mastering Destructive Gauge R&R",[652,653],{"_key":547,"_ref":548,"_type":27},{"_key":550,"_ref":551,"_type":27},{"_type":442,"metaDescription":647,"metaImage":655,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":492},{"_type":42,"asset":656},{"_ref":657,"_type":27},"image-dcfdfde509a7a8d2b37ba897eeb821e0ec98dc1c-1201x628-png","2024-03-02",{"_type":660,"fileType":661,"muxVideo":662,"posterImage":674,"textTrack":49},"video","mux.video",{"_createdAt":663,"_id":664,"_rev":665,"_system":666,"_type":669,"_updatedAt":670,"title":671,"video":672},"2025-06-24T19:40:15Z","95d71fb9-1399-403c-a35a-7898019695b3","0qi4sX2XL5gJeAUmBda41d",{"base":667},{"id":664,"rev":668},"0qi4sX2XL5gJeAUmBdZzU4","videoFile","2025-06-24T19:42:21Z","June_24_2025_MoreSteam_Webinar",{"playbackId":673,"title":49},"IMMssS8scbDvdfMSdRMfqR3X6ICEil00xuoX1ezm9YVA",{"_type":42,"asset":675},{"_createdAt":676,"_id":677,"_rev":678,"_type":47,"_updatedAt":679,"altText":451,"assetId":680,"description":49,"extension":138,"metadata":681,"mimeType":164,"opt":705,"originalFilename":711,"path":712,"sha1hash":680,"size":713,"title":49,"uploadId":714,"url":715},"2025-05-13T20:37:28Z","image-e31d46fef719f8a7cedbc20996a259768967101d-4001x2251-png","ShBttggBniCqjqcnCBBMC3","2025-05-13T20:39:36Z","e31d46fef719f8a7cedbc20996a259768967101d",{"_type":53,"blurHash":682,"dimensions":683,"hasAlpha":59,"isOpaque":40,"lqip":687,"palette":688},"MiOlS_n+$%bbNI}?j]ShkCj[JUW=R-ofs.",{"_type":56,"aspectRatio":684,"height":685,"width":686},1.7774322523322967,2251,4001,"data:image/png;base64,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",{"_type":62,"darkMuted":689,"darkVibrant":691,"dominant":694,"lightMuted":697,"lightVibrant":699,"muted":702,"vibrant":704},{"_type":64,"background":690,"foreground":66,"population":272,"title":66},"#951203",{"_type":64,"background":692,"foreground":66,"population":693,"title":66},"#971304",6.72,{"_type":64,"background":695,"foreground":66,"population":696,"title":66},"#ec6c2c",8.57,{"_type":64,"background":698,"foreground":66,"population":272,"title":66},"#89370f",{"_type":64,"background":700,"foreground":76,"population":701,"title":66},"#ef9c73",1.93,{"_type":64,"background":703,"foreground":66,"population":316,"title":66},"#946b4a",{"_type":64,"background":695,"foreground":66,"population":696,"title":66},{"media":706},{"tags":707},[708,710],{"_ref":709,"_type":27,"_weak":40},"N44TlXIpI6iQPtJXbbV1ID",{"_ref":432,"_type":27,"_weak":40},"June25-Hypothesis-Webinar_Poster.png","images/oq9f4n1v/production/e31d46fef719f8a7cedbc20996a259768967101d-4001x2251.png",1586624,"nJPotKPN4nsqyiQmX4RJisWqOZ2KExOS","https://cdn.sanity.io/images/oq9f4n1v/production/e31d46fef719f8a7cedbc20996a259768967101d-4001x2251.png","https://moresteam.zoom.us/webinar/register/WN_3Sp9GmNvT2ic8kpRv020wg",1788293793559]