Every Wednesday this February, during Move UBC month, wear your activewear and get a free drop-in to the Hangar Fitness Centre, Group Fitness Classes or open-gym time.
This workshop will introduce interaction terms in linear models along with random and fixed effects, including random and fixed intercepts and slopes, in the context of Hierarchical Linear Models (also known as Linear Mixed Models).
By the end of this session, participants should be able to fit (Hierarchical) Linear Models (HLMs) with interaction terms and interpret the output of the summary() function for Hierarchical Linear Models. Additionally, participants will be able to identify the limitations of (H)LMs.
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 de discussion ou de révision. Nous offrons plusieurs services tels que le soutient académique et aux travaux, la présence d’un.e assistant.e à l’enseignement, des activités […]
This stream is for undergraduate students, or a Master’s students whose program is not on the BC PNP Eligibility. In this session we will review eligibility, documents, application process, and timeline.
Explore strategies to write an impactful resume and cover letter
Join us for a five-week session of kickboxing classes at the UBC Okanagan Gymnasium.
The Intercultural Development Program (IDP) will have an intercultural trivia pop-up where students can spin the wheel to answer questions for a chance to win a sweet treat.
This session will address the advantages of box plots over bar charts for displaying the spread and variability in data. Participants will learn how box plots can be used to compare multiple samples, the impact of sample size on data representation, and the efficient identification of outliers.
By the end of the session, participants should be able to create and interpret box plots, appreciate their usefulness in comparing multiple samples, understand the implications of sample size, and identify outliers and median confidence intervals through notches in box plots.