STA304 Project Resources

Brief Description

I was a teaching assistant for STA304 (Surveys, Sampling and Observational Data) under the supervision of Luai Al Labadi during Fall 2022, 2023, and 2024. I was in charge of overseeing and facilitating the group projects within the course.

Students are tasked to create surveys, collect data, clean data, perform data analysis, write a report, and present their results.

I've personally observed that many students don't know much about hypothesis testing and do not know how to code in R. Hence, I wrote a detailed review of topics they should know as well as some additional data analysis methods. The guide can be found below.

Warnings

Update — October 22nd, 2025

I no longer believe in (most) statistical hypothesis testing. I became radicalized while reading Andrew Gelman's blogs and the comment section.

I have not updated this document yet, but I will likely only do so once I am a teaching assistant for STA304 again. I may employ a twist on how to do applied inference without any sort of hypothesis testing (time permitting.)

Update — December 19th, 2024

At the time of writing the guide, I had no formal training in statistical modelling and neither did I discuss the philosophy of statistical modelling.
Generally, the models students will create in STA304 will not be so complex, but in the real world I hope the models would have more depth to them.
I aim to re-write this in the future after obtaining more training in approaches and best practices.
I generally disagree with a lot that I have written and would like to revise it heavily. Nonetheless, it's still beyond what students are expected to know for STA304.

Resources

Hypothesis Testing & Statistical Tests Review

A detailed review of hypothesis testing and statistical tests, plus additional data analysis methods and R code examples — beyond what is expected for STA304, but useful context for the project.

Review PDF ↓

STA304 — Project Resources

Brief Description

Warnings

Resources