📊 Power Analysis, Sampling, and Statistics for Apiary Studies
An interactive 3D apiary field where you sample colonies, choose a sampling method, and watch statistical power and sampling bias update live.
A 3D apiary field lets you draw samples of colonies with different sampling methods and sample sizes, then watch statistical power, the sample size needed for 80% power, and sampling bias update live as floating yield bars and a power curve.
🔬 What It Demonstrates
Statistical power rises with sample size and effect size and falls as the significance threshold tightens. Clustering a sample in one part of a field with an environmental gradient (forage quality) confounds the comparison and produces measurable sampling bias — even though it feels "convenient."
🎮 How to Use
Set the sample size per group, the effect size you expect to detect, and the significance level. Switch between random and clustered sampling to see how representativeness changes the bias statistic, and watch the marker move along the power curve on the right.
💡 Did You Know?
Because colonies are costly and slow to replicate, many apiary studies are underpowered by design — running a power analysis before data collection (not after) is one of the simplest ways to make research honest about what it can and can't detect.
An interactive 3D apiary field where you sample colonies, choose a sampling method, and watch statistical power and sampling bias update live.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install