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BEGIN:VEVENT
UID:20260501T090357Z - 31653@am534a.odoo.com
DTSTART;TZID=America/Denver:20250619T180000
DTEND;TZID=America/Denver:20250619T200000
CREATED:20260501T090357Z
DESCRIPTION:<a href="https://www.asqslc.org/event/june-asq-salt-lake-member
 -workshop-16">June ASQ Salt Lake Member Workshop</a>\nJoin us in June! To 
 make informed data-driven decisions\, you need appropriate analysis of goo
 d data. Unfortunately\, sometimes 90% of the allotted time is spent data-w
 rangling (organizing\, formatting\, and cleaning or investigating the data
 )\, leaving only 10% of available time for analysis. This workshop-style p
 resentation will help you learn principles of organizing data so that it i
 s ready for statistical software\, enabling more efficient and informative
  analysis. As an exercise\, we will use a real dataset of automobile milea
 ge and fuel consumption for a few vehicles. We will search for inconsisten
 cies\, review formats\, and apply the 8 Dimensions of Data Quality to make
  the dataset analysis-ready. You will learn a step-by-step process for pre
 paring a dataset that is checked for quality\, documented\, and ready to b
 e read into statistical software. Whether you supply data for someone else
  to analyze\, collect and analyze your own data\, or analyze data that com
 es from other sources\, this workshop will teach you principles to work ef
 ficiently with data. Presented by: Mark Martin Mark Martin (CQE\, CRE\, CQ
 A) worked for 24 years as a statistician in the healthcare diagnostics ind
 ustry. He has seen a wide range of datasets\, ranging from well-executed s
 tudies with cleanly prepared datasets\, to poorly organized data requiring
  lots of reformatting and investigation. Mark’s work was approximately 7
 5% product development and 25% manufacturing support. Favorite activities 
 included designing experiments in collaboration with scientists and engine
 ers\, improving processes\, designing efficient test protocols\, and suppo
 rting troubleshooting efforts. Mark was also involved with non-clinical tr
 ials. Having worked in the development of blood tests and automated immuno
 assay analyzers\, Mark (as a patient) is a firm believer in regular wellne
 ss testing\, in addition to the traditional use [...]
DTSTAMP:20260501T090357Z
LOCATION:Red Tree Room\, 28 N 900 W\, Salt Lake City UT 84116\, United Stat
 es
SUMMARY:June ASQ Salt Lake Member Workshop
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.asqslc.org/event/june-asq
 -salt-lake-member-workshop-16">June ASQ Salt Lake Member Workshop</a>\nJoi
 n us in June! To make informed data-driven decisions\, you need appropriat
 e analysis of good data. Unfortunately\, sometimes 90% of the allotted tim
 e is spent data-wrangling (organizing\, formatting\, and cleaning or inves
 tigating the data)\, leaving only 10% of available time for analysis. This
  workshop-style presentation will help you learn principles of organizing 
 data so that it is ready for statistical software\, enabling more efficien
 t and informative analysis. As an exercise\, we will use a real dataset of
  automobile mileage and fuel consumption for a few vehicles. We will searc
 h for inconsistencies\, review formats\, and apply the 8 Dimensions of Dat
 a Quality to make the dataset analysis-ready. You will learn a step-by-ste
 p process for preparing a dataset that is checked for quality\, documented
 \, and ready to be read into statistical software. Whether you supply data
  for someone else to analyze\, collect and analyze your own data\, or anal
 yze data that comes from other sources\, this workshop will teach you prin
 ciples to work efficiently with data. Presented by: Mark Martin Mark Marti
 n (CQE\, CRE\, CQA) worked for 24 years as a statistician in the healthcar
 e diagnostics industry. He has seen a wide range of datasets\, ranging fro
 m well-executed studies with cleanly prepared datasets\, to poorly organiz
 ed data requiring lots of reformatting and investigation. Mark’s work wa
 s approximately 75% product development and 25% manufacturing support. Fav
 orite activities included designing experiments in collaboration with scie
 ntists and engineers\, improving processes\, designing efficient test prot
 ocols\, and supporting troubleshooting efforts. Mark was also involved wit
 h non-clinical trials. Having worked in the development of blood tests and
  automated immunoassay analyzers\, Mark (as a patient) is a firm believer 
 in regular wellness testing\, in addition to the traditional use [...]
END:VEVENT
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