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Writing

Statistics, probability, and Bayesian thinking — built from the ground up.

Statistical Technicians

The case for teaching statistics as reasoning, not procedure

Do We Really Need to Test Variances Anymore?

Why classical assumption checks are no longer gatekeepers, and how modern ANOVA methods handle heterogeneity directly.

Stop Pretending Data Roles Are Separate

My push back against the “data trinity”

A Note on Confidence Intervals

What a confidence interval is - but more importantly, what it is not.

A Brief Primer on p-values

An article to help build and understanding of this common, yet misunderstood, measure

Maximum Likelihood Estimation: Part 2

Deriving the Binomial estimator from first principles

An Introduction to Maximum Likelihood Estimation

A closer look at how to derive the estimator for the Binomial model

On Probability versus Likelihood

A discussion about two terms that are often used interchangeably, but are mathematically distinct

Data Visualisation: A Case for Dual-axis Plots

A quick case study for when a dual-axis plot is actually useful

Multicollinearity: Problem, or Not?

A brief guide on multicollinearity and how it affects multiple regression models

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© Rob Taylor

Statistics, probability, and Bayesian thinking

robtaylor.co.nz