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Normal Distribution Visualizer

Interactive Bell Curve. Visualize Mean, Standard Deviation, and Z-scores.

From IQ scores to height, nature loves the **Normal Distribution**. Use this tool to visualize the famous "Bell Curve" and understand the Empirical Rule.

✓ Interactive Bell Curve✓ Adjust Mean & Sigma✓ Empirical Rule Calculator✓ Probability Density

Distribution Parameters

0
1

The Bell Curve

Empirical Rule (68-95-99.7)

68% of data falls between:[-1.00, 1.00]
95% of data falls between:[-2.00, 2.00]

This assumes a perfectly normal distribution. Notice how changes in σ (sigma) make the curve wider (flat) or narrower (tall).

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What is Normal Distribution Visualizer?

What is Normal Distribution?

Also known as the Gaussian distribution, it describes a symmetric plot of data where most values cluster around the central "mean", and taper off symmetrically towards the extremes.

Ideally, the Mean, Median, and Mode are all the same.

Formula & Calculation

The Probability Density Function (PDF) is given by:

f(x) = 1σ√(2π)e-0.5(x-μσ

Key Parameters

  • μ (Mu): The Mean or center of the curve. Shifts it left/right.
  • σ (Sigma): The Standard Deviation. Controls the width/spread. Small σ = Tall/Skinny. Large σ = Short/Fat.

Example Calculation

IQ Scores

IQ is designed to be normally distributed with:

  • Mean (μ) = 100
  • Standard Deviation (σ) = 15

Set these values above. You'll see that ~68% of people have an IQ between 85 and 115.

Frequently Asked Questions

Why 68-95-99.7?

It's a mathematical property of the integral of the Gaussian function. 68.2% of the area is within 1 standard deviation, 95.4% within 2, and 99.7% within 3.