Probability Density Function (PDF) Plotter

Use this free browser-based tool to plot Probability Density Functions (PDF), especially the Normal Distribution curve. Adjust mean and standard deviation to visualize how the distribution changes in real time. No uploads, no servers — everything runs directly in your browser for privacy and speed.

Distribution Settings

PDF Visualization

About Probability Density Function Plotter

The Probability Density Function (PDF) Plotter from SmallToolsOnline lets you visualize statistical distributions directly in your browser. It currently supports the Normal (Gaussian) distribution, one of the most important concepts in probability and statistics.

What Does It Do?

How To Use It

  1. Enter values in this format: mean, stdDev, minX, maxX
  2. Example: 0,1,-5,5
  3. Click “Plot PDF”
  4. View graph and exported data
  5. Copy or download results if needed

Why This Tool?

Use Cases

Final Thoughts

Understanding probability distributions becomes much easier when you can see them. This tool gives you a fast and interactive way to explore how data behaves under a normal distribution.

SmallToolsOnline.com – Small Tools. Big Help.

All Statistics Tools

µ σ
Compute mean, median, mode, variance and standard deviation.
t
Test whether the mean of a single sample differs from a known value.
t
Compare means of two independent samples.
Compare means from the same group at two times.
Test differences among three or more group means.
χ²
Test for association between categorical variables.
Compute Pearson or Spearman correlation between two variables.
Fit a linear model to predict a dependent variable by an independent one.
Fit a model with multiple predictors.
Model binary outcomes using logistic regression.
n &power;
Estimate sample size or power for a given effect size and significance.
CI
Compute confidence intervals for means or proportions.
Create a histogram from numeric data in your browser.
Generate box-and-whisker plots from your data set.
80/20
Create an 80/20 Pareto chart from categorical data.
Plot data points and fit a trend line in your browser.
Visualize residuals from regression for diagnostics.
Plot the confidence ellipse for a bivariate distribution.
MC
Run simple browser-based Monte Carlo simulations.
Plot time series data and view trends over time.
Calculate probabilities and z-scores for normal distributions.
Compute binomial probabilities and cumulative values.
Find Poisson probabilities for discrete random events.
Compute probabilities for uniform distributions.
Find probabilities for exponential random variables.
p̂
Calculate CI for population proportions.
μ
Find confidence interval for population mean.
Generate random numbers between chosen limits.
Randomly select elements from your data list.
%
Find percentile rank or value for data sets.
Z
Compute z-scores and probabilities for data points.
Find Q1, Q2, Q3, and the interquartile range.
σ
Calculate population or sample standard deviation.
Compute variance of population or sample data.
x̄ M M
Find the mean, median, and mode of a dataset.
Find the covariance between two variables.
Visualize PDFs of normal and other distributions.
Plot CDFs of common statistical distributions.
P(A)
Compute simple, joint, and conditional probabilities.
nCr
Calculate factorial-based combinations and permutations.
Visualize probability paths and outcomes with branching trees.
Create a correlation matrix for multiple numeric variables.
Identify statistical outliers in your dataset.
Perform a Shapiro–Wilk normality test in your browser.
Visualize correlation strengths in a colorful heatmap.
Smooth time-series data using moving averages.
w̄
Calculate a weighted mean from values and weights.
Visualize correlation between two continuous variables.
σ²w
Compute variance when data points have different weights.
View quick descriptive statistics summary from your dataset.