Statistical Fundamentals: A Visual Approach Workshop Series—Correlation, Causation and Association

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

This session will address the concepts of correlation, causation, and association in data. Participants will learn to differentiate between these concepts and to recognize and interpret various types of correlations.

By the end of the session, participants should be able to distinguish between correlation and causation, recognize the impact of confounding variables on associations, evaluate correlation reliability, and understand the significance of correlation results.

Free
Event Series Get it written

Get it written

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

Working on a paper or project? Preparing for an essay exam? Just studying for finals? The Student Learning Hub will have hot drinks, snacks, and writing consultants available to answer questions about written assignments and essay exam study strategies. Yes, you can study for essay exams!  Join us in the SLH (LIB 237) March 27 […]

Fitting Models to Data Not Data to Models Workshop Series: Hierarchical GAMs

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

This workshop will re-visit random and fixed effects with Hierachical GAMs (HGAMs) and expand the concepts of random slopes by introducing random smooths. The workshop will also cover smooth, nonlinear interaction terms via the ti() and te() functions.

By the end of this session, participants should be able to fit HGAMs with smooth interaction terms, plot and interpret the models.

Free
Event Series Get it written

Get it written

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

Working on a paper or project? Preparing for an essay exam? Just studying for finals? The Student Learning Hub will have hot drinks, snacks, and writing consultants available to answer questions about written assignments and essay exam study strategies. Yes, you can study for essay exams!  Join us in the SLH (LIB 237) March 27 […]

Statistical Fundamentals: A Visual Approach Workshop Series—ANOVA and Blocking

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

This session will introduce participants to the Analysis of Variance (ANOVA), a statistical method used for comparing the means of three or more groups. The concept of blocking will also be introduced to reduce noise and isolate sources of variation.

By the end of the session, participants should be able to use ANOVA for multi-treatment analysis, implement blocking in experimental design, calculate the F statistic for assessing significance, and appreciate how blocking can improve the efficiency of a study.

Free

Fitting Models to Data Not Data to Models Workshop Series: Interpreting and Predicting from Generalized Additive Models

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

This workshop will show how to interpret GAMs and how to use GAMs to make publication-level figures.

By the end of this session, participants should be able to interpret GAMs and the output of the summary() function, predict from GAMs, and make figures using GAMs.

Free

Statistical Fundamentals: A Visual Approach Workshop Series—Non-parametric Tests and Visualizations

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

This session will introduce participants to non-parametric tests, which are useful when data distributions do not meet the assumptions of parametric tests. Attendees will learn to compare the adaptability of these tests with different data distributions and to visualize their operation.

By the end of the session, participants should be able to choose and apply the appropriate non-parametric tests for their data, visualize the operation of these tests, and understand the challenges of multiple testing with non-parametric methods.

Free

Fitting Models to Data Not Data to Models Workshop Series: Generalized Additive Models

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

This workshop will introduce Generalized Additive Models (GAMs), which allow one to fit models that are complex and nonlinear but easily interpretable, unlike many “black-box” machine learning models.

By the end of this session, participants will be able to fit GAMs in R using the mgcv package and understand the advantages of GAMs over GLMs and LMs.

Free

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