Bootstrapping Lab · Monte Carlo Demo

The Sampling Distribution of X / Y

X is pinned at a standard normal. Drag Y's mean and watch what happens to the ratio of sampled values when the two distributions overlap near zero — and what happens when they pull apart.

Where the samples land

X ~ N(0, 1) Y ~ N(μ, 1)

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Sampling distribution of X / Y (this sample's ratios)

◀ OUT OF RANGE (LOW) 0
1000
0.00
100%
OUT OF RANGE (HIGH) ▶ 0