Statistics

Central Limit Theorem Calculator

Find the sampling distribution of the mean.

Parameters Live Compute
Calculated Output
Sampling mean 100
Standard error 2.5
Formula: mean stays; SE = σ ÷ √n
Step-by-Step Breakdown
1. Values used:
2. Population mean = 100
3. Population SD = 15
4. Sample size = 36
5.
6. Sampling mean = 100
7. Standard error = 2.5
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The CLT says sample means become normally distributed as sample size grows.

The math behind it

The sampling distribution of the mean has the same mean and a standard error of σ ÷ √n.

Worked Example

μ 100, σ 15, n 36 → SE = 2.5.

Frequently Asked Questions

How big must n be?

About 30 is enough for most distributions to look normal.

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