Tutorials, supplementary notes, and answers to students’ questions.
Python basics, permutation tests, bootstrap, linear regression, and multinomial logistic regression.
A systematic introduction to linear regression: estimation, inference, diagnostics, remedies, and a brief look at logistic regression.
Explore an idea, try a simulation, or pick up a template for your own notes.
An intuitive introduction to sample spaces, random variables, and iid samples for students connecting probability with statistics.
A beginner-friendly introduction to probability simulation: estimating how many cups of coffee you can buy when prices vary randomly from $0 to $10.
When we first learn about sample variance, one question always seems to linger: why do we divide by n − 1 instead of n?
Custom LaTeX and Keynote templates for creating clear, polished statistics notes, homework solutions, and presentations.
How I make statistics more approachable through visualization, practical applications, and everyday conversations.