Statistics simulator

1. Population

2. One sample: calculate the statistic

3. Distribution of this statistic across samples

Observations per sample:

What are we computing?

Shape of the population

Group 1 mean

Group 2 mean

Group 3 mean

Mean under H₀

SD σ

Correlation of before and after, ρ:

True intercept

True slope β

True effect:

Alpha

Test

Show the statistic as

Grey out the population (we can't see it)

Inspired by Kristoffer Magnusson's p-value visualization (MIT, CC0) at R Psychologist.

Two worlds: what H₀ predicts, and what would happen if the effect were real

Design

Effect size d:

Sample size n:

Students N, in both groups:

Schools J, in both groups:

Students tested per school n:

Intraclass correlation ρ:

Share treated P:

Variance explained by controls R²:

Alpha:

Test

Inspired by Kristoffer Magnusson's power visualization (CC BY) at R Psychologist.

One interval per sample. The vertical line is the true population mean.

Drag a point and watch what changes. Click empty space to add a point.