Statistical Fundamentals: A Visual Approach Workshop Series—All About T-tests and Visualizations

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

This session will introduce participants to the various types of t-tests, including one-sample, two-sample, paired, and one-sided tests. Attendees will learn about the appropriate applications for each type and the visualization techniques that can enhance the interpretation of t-test results.

By the end of the session, participants should be able to apply and visually represent different t-tests, interpret their results, understand the implications of multiple testing corrections, and select the appropriate test for their data.

Free

Fitting Models to Data Not Data to Models Workshop Series: (Hierarchical) Generalized Linear Models

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

This workshop will introduce Generalized Linear Models (GLMs), which allow one to model non-Gaussian (i.e., non-normal) data.

By the end of this session, participants will be familiar with the three parts of GLMs (family of distribution, linear predictor, and link function) and will be able to decide what family of distributions and link function to choose for their data. They will also be able to interpret the output of the summary() function and diagnostic plots for (H)GLMs and recognize the limitations of (H)GLMs.

Free

Statistical Fundamentals: A Visual Approach Workshop Series—Visualizing Samples with Boxplots and Kick the Bar Chart Habit

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

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.

Free

Fitting Models to Data Not Data to Models Workshop Series: Interaction Terms and Hierarchical Linear Models/Linear Mixed Models

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

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.

Free

Statistical Fundamentals: A Visual Approach Workshop Series—P value, Significance and T-test

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

This session will introduce participants to the concept of P values and their role in hypothesis testing, highlighting that P values reflect the probability of observing the data under the null hypothesis, not the biological significance of the findings. The session will cover the computation of P values and delve into the nuances of one-sample t-tests.

By the end of the session, participants should be able to comprehend the meaning of P values, understand how hypothesis tests calculate P values, recognize when small P values indicate unlikely events under the null hypothesis, and explore the assumptions behind one-sample t-tests.

Free

Fitting Models to Data Not Data to Models Workshop Series: Multiple Linear Regression in `R`

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

This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

Free

Statistical Fundamentals: A Visual Approach Workshop Series—Visualizing Errors and Common Pitfalls

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

This session will address the visualization of standard deviation (s.d.), standard error of the mean (s.e.m.), and confidence interval (CI) error bars to enhance the understanding of uncertainty in data analysis. The interpretation of error bars for statistical significance will be discussed, along with common misinterpretations to avoid.

By the end of the session, participants should be able to visualize and interpret error bars, understand the implications of their spacing and width, and be cautious of common pitfalls such as misinterpreting non-overlapping error bars as evidence of significance.

Free

Fitting Models to Data Not Data to Models Workshop Series: Fitting Linear Models in `R`

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

This workshop will illustrate how to fit linear models in R, diagnose any issues with model assumption violations, and interpret linear model summaries, including model coefficients, degrees of freedom, standard error estimates, t statistics, F statistics, p-values, R2, statistical significance, adjusted R2.

By the end of this session, participants will be able to fit linear models in R and interpret model outputs, including the output of the summary() function in R.

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

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

Event Series Sexual Assault Awareness Month

Rest as Resistance

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

Métis-settler master’s student Dani Pierson will guide you through a Rest as Resistance workshop. This event is hosted as a part of Sexual Assault Awareness Month at UBC.

Accessing Statistics Canada Data for your Research

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

Looking for data for your graduate thesis or post-doctoral project? This workshop will introduce you to both publicly available and restricted access Statistics Canada data, and how to apply to use restricted access data through UBCO Research Data Centre.

Free