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DTSTART:20240209T190500Z
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SUMMARY:R for Statistics Part 2: Confidence Intervals
DESCRIPTION:This is a part of DSOS's WinteR of LeaRning Series.\n\nIn this 
 8-part series\, you'll learn to apply practical statistics in R. This is 
 Part 2: Confidence Intervals\, and we'll cover:\n\n\n	Inferential 
 Statistics Basics\n	Confidence Intervals\n	Bootstrapping\n\n\nHere is a 
 recording from a previous session of this workshop.\n\nBelow are the links 
 to register for the workshops in the series:\n\n\n	R for Statistics Part 3: 
 Hypothesis Testing (Continuous Variables)\n	R for Statistics Part 4: 
 Hypothesis Testing (Categorical Variables)\n	R for Statistics Part 5: 
 Linear Regression\n	R for Statistics Part 6: Logistic Regression\n	R for 
 Statistics Part 7: Survival Analysis\n	R for Statistics Part 8: Mixed 
 Modeling\n\n\nInstructor\n\nAlbert Lee is an Instructional Designer for the 
 Data Science & Open Scholarship team at the UCSF Library.
LOCATION:Mission Bay FAMRI Library: Room CC150 (main reading room)\, Mission Bay
ORGANIZER;CN="Albert Lee":MAILTO:albert.lee8@ucsf.edu
CATEGORIES:Programming
CONTACT;CN="Albert Lee":MAILTO:albert.lee8@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-11580331
URL:https://calendars.library.ucsf.edu/event/11580331
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