Event Series Nurse On Campus

Nurse On Campus

University Centre (UNC) - Picnic 3272 University Way, Kelowna, BC, Canada

Drop-in and chat with our nurse on campus. No appointment needed to access this free service.

Event Series B.A.R.K.2GO

B.A.R.K.2GO

Engineering, Management, and Education Building (EME) 1137 Alumni Ave, Kelowna, BC, Canada +1 more

Spend time with therapy dogs, reduce your stress, and meet others from UBC Okanagan.

Event Series Études Express

French Études Express

Arts Building (ART) 1147 Research Road, Kelowna, BC, Canada

Tous Les Mercredis Où : ART 222 Quand : 15h30 à 17h00 Venez vous joindre à nous lors de l’Étude express du mercredi pour une session de jeux de société, un moment […]

FREE
Event Series Kickboxing

Kickboxing

Gymnasium (GYM) 3211 Athletics Court, Kelowna, BC, Canada

Join us for a five-week session of kickboxing classes at the UBC Okanagan Gymnasium.

$55

Amitié Express

Engineering, Management, and Education Building (EME) - Global Collegium 1137 Alumni Ave, Kelowna, BC, Canada

Celebrate with us by indulging in festive desserts by Sandrine Bakery and fun activities at none other than our back-to-school Amitié Express.  

Free

Statistical Fundamentals Workshop Series: A Visual Approach

Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

This series will use R and Python to help develop an intuition for fundamental statistical concepts using data visualization. These workshops are equally suitable to those hoping to enhance their ability to interpret common statistical tests and concepts as it is for those applying statistical modelling to their work.

Free

Statistical Fundamentals: A Visual Approach Workshop Series—Population, Sampling, Sampling Distribution and Central Limit Theorem

Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

This session will introduce participants to the foundational concepts of statistical inference, including population distributions and the process of random sampling. Attendees will learn how sampling distributions evolve towards normality as sample sizes increase and will visually explore the Central Limit Theorem.

By the end of the session, participants should be able to visualize and understand population distributions, illustrate random sampling processes, recognize the normalizing effect of larger samples on sampling distributions, and demonstrate the Central Limit Theorem visually.

Free