Statistics Tools – Small Tools. Big Help.

Welcome to SmallToolsOnline.com — your go-to toolkit for working with numbers, data, and statistics quickly and efficiently. Our collection of smart browser-based statistics tools helps you analyze, calculate, and visualize data instantly — all without installing any software or uploading your files anywhere.

From simple mean, median, and mode calculators to advanced data visualizers, probability finders, and standard deviation calculators, every tool runs directly in your browser using fast JavaScript processing.

Whether you're a student learning statistics, a researcher analyzing data, or a developer needing quick calculations — Small Tools Online helps you do it faster, smarter, and safer.

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.
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.
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.