Distribution Calculator - Probability & Statistics

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How It Works

1

Select Distribution

Choose normal, binomial, or Poisson

2

Enter Parameters

Input distribution parameters

3

Apply Formula

Use PDF/PMF equations

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Get probability & statistics

Common Examples

N(0,1)
Standard normal distribution
B(10,0.5)
Binomial: 10 trials, p=0.5
Pois(3)
Poisson with λ=3
N(100,15)
IQ scores distribution
Distribution Formulas
Key Formulas:
Normal: f(x) = (1/(σ√(2π))) × e^(-½((x-μ)/σ)²)
Binomial: P(X=k) = C(n,k) × p^k × (1-p)^(n-k)
Poisson: P(X=k) = (λ^k × e^(-λ)) / k!
Mean & Variance: Calculated for each distribution type

Distribution Calculator

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What

A tool for calculating probability distributions including normal, binomial, and Poisson distributions.

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Why

Essential for statistical analysis, probability theory, and data science applications.

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Applications

Statistics, quality control, risk analysis, machine learning, and scientific research.

Calculation Examples

DistributionParametersP(X=2)Application
Normalμ=0, σ=10.0540Standard normal
Binomialn=10, p=0.30.2335Quality control
Poissonλ=30.2240Arrival rates
Normalμ=100, σ=150.0000IQ scores

Frequently Asked Questions

1

What is a probability distribution?

A probability distribution describes how probabilities are distributed over the values of a random variable. It shows the likelihood of different outcomes.

2

When should I use a normal distribution?

Use normal distribution for continuous data that clusters around a mean, like heights, weights, test scores, or measurement errors. It's the bell curve distribution.

3

What is a binomial distribution used for?

Binomial distribution models the number of successes in a fixed number of independent trials, each with the same probability of success (like coin flips or pass/fail tests).

4

When do I use Poisson distribution?

Poisson distribution models the number of events occurring in a fixed interval (time/space) when events happen independently at a constant average rate.

5

What's the difference between PDF and PMF?

PDF (Probability Density Function) is for continuous distributions like normal. PMF (Probability Mass Function) is for discrete distributions like binomial and Poisson.

6

How accurate are these calculations?

The calculator uses precise mathematical formulas and provides results accurate to 6 decimal places. Results are suitable for academic and professional use.

7

Can I see the calculation steps?

Yes! The calculator shows detailed step-by-step solutions including the formulas used, parameter substitution, and final calculations for educational purposes.

Quick Reference

📏1 meter
3.28 feet
⚖️1 kilogram
2.2 pounds
🌡️0°C
32°F
🥤1 liter
0.26 gallon