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UID:20260603T071935EDT-81016S3JfM@132.216.98.100
DTSTAMP:20260603T111935Z
DESCRIPTION:\n	Title: Why Bother With Statistics?\n	 \n\nAbstract:\n\nA simpl
 e Google search defines the term statistics as “the practice or science of
  collecting and analyzing numerical data in large quantities\, especially 
 for the purpose of inferring proportions in a whole from those in a repres
 entative sample”. In general\, this definition is correct\, however\, it d
 oes not seem to capture the subtleties hidden in modelling real world phen
 omena. In 1976\, George Box stated ‘Since all models are wrong the scienti
 st cannot obtain a “correct” one by excessive elaboration’ which simplifie
 s to the common aphorism of “All models are wrong but some are useful”. Gi
 ven the above definition of statistics and the statement of Box\, how can 
 the statistician bridge the gap between collected data and well-defined ma
 thematical models which are potentially incorrect? In this talk\, we discu
 ss how statistics is introduced at an undergraduate university level and h
 ow seemingly basic concepts can be generalized using rigorous mathematics.
  Time permitting\, some current research problems will be introduced.\n
DTSTART:20171103T160000Z
DTEND:20171103T160000Z
LOCATION:Graduate Lounge\, BURN 1024/1025\, Burnside Hall\, CA\, QC\, Montr
 eal\, H3A 0B9\, 805 rue Sherbrooke Ouest
SUMMARY:Graduate Student Seminar - James McVittie
URL:/mathstat/channels/event/graduate-student-seminar-
 james-mcvittie-282330
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