BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260605T021314Z
UID:bf144f85-6f21-4c2f-9f9f-3fbbc2c109da
DTSTART;TZID=Canada/Eastern:20260212T110000
DTEND;TZID=Canada/Eastern:20260212T120000
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/university-of-waterloo-libraries" 
 target="_blank" rel="noopener">University of Waterloo Libraries</a></li><l
 i><strong>Registration may be required for the event</strong>\, please vis
 it the following URL to learn more: <a href="https://libcal.uwaterloo.ca/c
 alendar/events/LDW26Stats" target="_blank" rel="noopener">https://libcal.u
 waterloo.ca/calendar/events/LDW26Stats</a></li></ul><hr><p>Refresh your un
 derstanding of fundamental statistical concepts and strengthen your data a
 nalysis skills in this interactive workshop. Using R\, we’ll revisit key
  topics such as descriptive statistics\, probability distributions\, hypot
 hesis testing and basic inferential techniques. Through guided exercises\,
  you’ll learn how to apply these concepts effectively to interpret and a
 nalyze data with confidence. </p><p>This session is ideal for anyone who w
 ants to reinforce their statistical foundation while gaining practical exp
 erience in R. While examples will be demonstrated in R\, the approach is a
 pplicable for other statistical software\, helping you approach data analy
 sis with clarity and precision.</p><p>This is an online event open to all\
 ; please register to receive the link. Presentation materials and a record
 ing will be shared with registrants after the workshop. If you have accomm
 odation requests or questions\, reach out to <a href="mailto:libevents@uwa
 terloo.ca" target="_blank" rel="noopener">libevents@uwaterloo.ca</a> with 
 your needs.   </p><p>Please note: This is the last of four workshops for L
 ove Data Week. You do not need to attend all four\; please register for ea
 ch workshop separately.</p></html>
LOCATION:Online—Zoom
SUMMARY:Love Data Week: Love at First Stat—Rediscover the Fundamentals
URL;VALUE=URI:https://libcal.uwaterloo.ca/calendar/events/LDW26Stats
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