Hands-on guides, tiny examples, and cheat-sheets. Written for students and busy researchers.
Short, focused articles you can complete in 10–15 minutes.
Stata · Beginner
Read data, label variables, and run quick summaries.
* Import a CSV
import delimited using "auto.csv", clear
* Peek at the data
codebook
summarize price weight mpg
* Basic graph
scatter price mpgStatistics · Concept
A precise definition, common mistakes, and one worked example.
p(value) = P(T ≥ t_obs | H0 is true)Stata · Workflow
Project structure, do-files, and logs you can reuse semester after semester.
/* project.do */
clear all
set more off
version 18
cd "~/projects/mycourse"
global raw "data/raw"
global out "output"
log using "$out/run.smcl", replace
do 1_import.do
do 2_clean.do
do 3_analysis.do
do 4_tables.do
log closeCopy-paste snippets for common tasks.
* Recode and label
generate ln_wage = ln(wage)
label var ln_wage "Log wage"
recode educ (0/11=0 "HS or less") (12/16=1 "College+"), gen(educ_cat)* OLS with robust SEs
regress wage educ exper tenure, vce(robust)
* Store and compare models
eststo m1
eststo m2: regress wage educ exper tenure i.female, vce(robust)
esttab m1 m2, se r2 aic bicReadable explanations with tiny datasets and pictures.
Foundation
How samples approximate populations, and why simple random samples matter.
Inference
Interpretation, coverage, and common pitfalls in plain English.
Effect size
When to use it, how to compute it, and what it tells you.
Cheat-sheets, datasets, and recommended readings.
I write approachable tutorials for Stata and statistics. Everything here is free to read and geared toward clarity and practicality.