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For Educators · Distributions

Distributions for a curve fit

Built for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs. Simulate a curve fit live below — adjust the inputs and watch it respond, right in your browser.

Probability DistributionsLive

PDF / PMF explorer

Controls

Presets

Mean μ

Std dev σ

▶ Run in Python

Data Inspector

Distributionnormal

Mean0.000

Variance1.000

Std dev1.000

Governing equation

f (x) = \frac{1}{2 π 1.00} e^{- \frac{( x - 0 ) ^{2}}{2 \cdot 1.00}}

Reading this result: The mean μ only slides the bell sideways while σ sets its width — variance is σ² = 1.00, so doubling σ quadruples the spread.

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Frequently asked questions

Is this good for educators?: Yes — this version of "Distributions for a curve fit" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.